Healthcare Cost and Utilization Project (HCUP)

Measure ID: HCUP_ 1, 30101011


Measure Title: Postoperative sepsis per 1,000 elective-surgery admissions of length 4 or more days, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All elective hospital surgical discharges among people age 18 or over with a length of stay of 4 or more days


Numerator: Subset of the denominator with any secondary diagnosis of sepsis


Comments: The AHRQ PSI software requires that the sepsis be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_2, 30101031


Measure Title: Admissions with central venous catheter-related bloodstream infection per 1,000 medical and surgical discharges of length 2 or more days, age 18 and over or obstetric admissions


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All medical and surgical hospital discharges or obstetric admissions, age 18 and over


Numerator: Subset of the denominator with any secondary diagnosis of infection


Comments: The AHRQ PSI software requires that the central venous catheter-related bloodstream infection be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_3, 30201041


Measure Title: Postoperative hemorrhage or hematoma with surgical drainage or evacuation per 1,000 surgical hospital discharges, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Inpatient hospital surgical discharges age 18 and over, excluding obstetric


Population measure: U.S. resident population age 18 and over


Numerator: Subset of the denominator with a secondary diagnosis indicating postoperative hemorrhage or postoperative hematoma


Comments: The AHRQ PSI software requires that the hemorrhage or hematoma complicating procedure be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_4, 30201051


Measure Title: Postoperative pulmonary embolism (PE) or deep vein thrombosis (DVT) per 1,000 surgical hospital discharges


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Inpatient hospital surgical discharges age 18 and over, excluding patients admitted for deep vein thrombosis (DVT) or pulmonary embolism (PE), obstetric admissions, and patients with secondary procedures for interruption of vena cava before or after surgery or as the only procedure


Numerator: Subset of the denominator with any secondary diagnosis of PE or DVT


Comments: The AHRQ PSI software requires that the PE or DVT be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_5, 30201061


Measure Title: Postoperative respiratory failure per 1,000 elective surgical hospital discharges, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available:2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All elective hospital surgical discharges (age 18 and over), excluding patients with respiratory disease, circulatory disease, neuromuscular disorders, obstetric conditions, and secondary procedure of tracheostomy before or after surgery or as the only procedure


Numerator: Subset of the denominator with any secondary diagnosis of acute respiratory failure or reintubation procedure at specific postoperative intervals


Comments: The AHRQ PSI software requires that respiratory failure be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_6, 30201081


Measure Title: Postoperative acute kidney injury requiring dialysis per 1,000 elective surgical hospital discharges


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Organization, Delivery, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All elective hospital surgical discharges for people age 18 and over, excluding those with selected serious diseases and obstetric admissions


Numerator: Subset of the denominator with any secondary diagnosis indicating postoperative acute kidney injury; discharges with acute renal failure must be accompanied by a procedure code for dialysis.


Comments: The AHRQ PSI software requires that the postoperative acute kidney injury be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).



Measure ID: HCUP_7, 30201091


Measure Title: Postoperative hip fractures per 1,000 surgical admissions who were not susceptible to falling, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Inpatient hospital surgical discharges, age 18 and over, who were not susceptible to falling


Numerator: Subset of the denominator with any secondary diagnosis indicating hip fracture


Comments: The AHRQ PSI software requires that the hip fracture be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_8, 30201101


Measure Title: Reclosure of postoperative abdominal wound dehiscence per 1,000 abdominopelvic-surgery admissions of length 2 or more days, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Inpatient hospital surgical (abdominopelvic surgery with a length of stay of 2 or more days) discharges age 18 and over, excluding obstetric admissions


Numerator: Subset of the denominator with a secondary procedure indicating reclosure of postoperative disruption of abdominal wall


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_9, 30301041


Measure Title: Accidental puncture or laceration during procedure per 1,000 medical and surgical admissions, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, bed size (hospital), sex, expected primary payer, geographic location (hospital and residence), income, ownership of hospital, region, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Hospital medical and surgical admissions among adults age 18 and over, excluding obstetric admissions


Numerator: Subset of the denominator with secondary diagnosis denoting accidental cut, puncture, perforation, or laceration during a procedure


Comments: The AHRQ PSI software requires that the accidental puncture or laceration be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_10, 30301061


Measure Title: Hospital admissions with iatrogenic pneumothorax per 1,000 medical and surgical admissions, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All medical and surgical hospital discharges, age 18 and over, excluding patients with chest trauma or pleural effusion, thoracic surgery, lung or pleural biopsy, cardiac surgery, diaphragmatic surgery, or obstetric admissions


Numerator: Subset of the denominator with any secondary diagnosis of iatrogenic pneumothorax


Comments: The AHRQ PSI software requires that the iatrogenic pneumothorax be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_11, 30301071


Measure Title: Deaths per 1,000 elective-surgery admissions having developed specified complications of care during hospitalization, ages 18-89 or obstetric admissions


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Hospital inpatient discharges, ages 18-89 years, with potential complications of care, excluding patients transferred in or out or patients admitted from long-term-care facilities


Numerator: Subset of the denominator with discharge disposition indicating death


Comments: The AHRQ PSI software requires that the complication of care be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_12, 30301081


Measure Title: Deaths per 1,000 discharges with expected low-mortality


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population sub groups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Hospital admissions among people age 18 and over or obstetric conditions, in low-mortality DRGs (defined as DRGs with less than a 05% mortality rate), excluding patients with trauma, immunocompromised state, or cancer


Numerator: Subset of the denominator with discharge disposition indicating death


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_13, 50301041


Measure Title: Emergency department encounters for asthma, adults ages 18-39


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), median household income of the patient's ZIP Code, region of the United States


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS) and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population ages 18 to 39


Numerator: Number of emergency department visits with a first-listed diagnosis of asthma


Comments: The AHRQ IQ software requires asthma to be the first-listed diagnosis.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_14, 150403021


Measure Title: Potentially avoidable hospitalizations for all conditions per 100,000 population, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, median household income of the patient's ZIP Code, urbanized location, and region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Adults with hospitalizations who qualified for any of the following PQI measures:



Comments: This measure is based on the 11 AHRQ PQIs for asthma, bacterial pneumonia, chronic obstructive pulmonary disease, heart failure, dehydration, diabetes, hypertension, and urinary tract infection. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_15, 150403051


Measure Title: Potentially avoidable hospitalizations for acute conditions per 100,000 population, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, median household income of the patient's ZIP Code, urbanized location, and region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Adults with hospitalizations who qualified for any of the following PQI acute care measures:



Comments: This measure is based on the three AHRQ PQIs for dehydration, bacterial pneumonia, and urinary tract infection. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_16, 150403081


Measure Title: Potentially avoidable hospitalizations for chronic conditions per 100,000 population, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), income, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Adults with hospitalizations who qualified for any of the following PQI chronic condition measures:



Comments: This measure is based on the eight AHRQ PQIs for asthma, chronic obstructive pulmonary disease, diabetes, heart failure, and hypertension. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_17, 50501031


Measure Title: Hospitalizations and emergency department encounters for heart failure (HF)


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, median household income of the patient's ZIP Code, urbanized location, and region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and Nationwide Emergency Department Sample (NEDS), and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Number of hospitalizations or emergency department visits for heart failure (HF)


Comments: Consistent with the AHRQ PQI software, HF must be the principal diagnosis and the following are excluded: admissions with cardiac procedures and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_18, 50601011


Measure Title: Perforated appendixes per 1,000 admissions with appendicitis


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Nonmaternal discharges with principal or secondary diagnosis of appendicitis, excluding transfers from other institutions


Numerator: Subset of the denominator with principal or secondary diagnosis code for perforation or abscess of appendix


Comments: The AHRQ PQI software requires that transfers from other institutions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_19, 150701041


Measure Title: Levels I and II trauma centers utilization per 100 emergency department visits related to all injuries


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, geographic location (residence), income, region, sex


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: Emergency department visits related to all injuries


Numerator: Subset of the denominator who utilized level I and II trauma centers


Comments: Trauma centers treat both adults and children. Designation of trauma center levels I, II, and III is based on criteria developed by the American College of Surgeons' Committee on Trauma (ACS/COT). Injury records were identified with a principal diagnosis related to injury defined using ICD-10-CM diagnosis codes S00-S99; T07-T34; T36-T50 with a 6th character of 1,2, 3, or 4 (except T36.9, T37.9, T39.9, T41.4, T42.7, T43.9, T45.9, T47.9, and T49.9 with a 5th character of 1, 2, 3, or 4); T51-T65; T66-T76; T79; T84.01; T84.02; and O9A.2-O9A.5.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_20, 150701042


Measure Title: Level III trauma center utilization per 100 emergency department visits related to all injuries


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, geographic location (residence), income, region, sex


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: Emergency department visits related to all injuries


Numerator: Subset of the denominator who utilized trauma level III centers


Comments: Trauma centers treat both adults and children. Designation of trauma center levels I, II, and III is based on criteria developed by the American College of Surgeons' Committee on Trauma (ACS/COT). Injury records were identified with a principal diagnosis related to injury defined using ICD-10-CM diagnosis codes S00-S99; T07-T34; T36-T50 with a 6th character of 1,2, 3, or 4 (except T36.9, T37.9, T39.9, T41.4, T42.7, T43.9, T45.9, T47.9, and T49.9 with a 5th character of 1, 2, 3, or 4); T51-T65; T66-T76; T79; T84.01; T84.02; and O9A.2-O9A.5.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_21, 150701043


Measure Title: Non-trauma centers utilization per 100 emergency department visits related to all injuries


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, geographic location (residence), income, region, sex


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: Emergency department visits related to all injuries


Numerator: Subset of the denominator who utilized non-trauma centers


Comments: Trauma centers treat both adults and children. Designation of trauma center levels I, II, and III is based on criteria developed by the American College of Surgeons' Committee on Trauma (ACS/COT). Injury records were identified with a principal diagnosis related to injury defined using ICD-10-CM diagnosis codes S00-S99; T07-T34; T36-T50 with a 6th character of 1,2, 3, or 4 (except T36.9, T37.9, T39.9, T41.4, T42.7, T43.9, T45.9, T47.9, and T49.9 with a 5th character of 1, 2, 3, or 4); T51-T65; T66-T76; T79; T84.01; T84.02; and O9A.2-O9A.5.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_22, 50801011


Measure Title: Hospital admissions for hypertension per 100,000 population, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, median household income of the patient's ZIP Code, urbanized location, and region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Number of hospitalizations with principal diagnosis of hypertension, excluding patients with cardiac procedures, obstetric admissions, and transfers from other institutions


Comments: The AHRQ PQI software requires hypertension to be the principal diagnosis. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_24, 50801031


Measure Title: Hospital admissions for chronic obstructive pulmonary disease or asthma per 100,000 population, adults age 40 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, and region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 40 and over


Numerator: Adults age 40 and over with hospital admissions and principal diagnosis of COPD, asthma, or acute bronchitis with COPD as a secondary diagnosis


Comments: The AHRQ PQI software requires the principal diagnosis to be COPD, asthma, or acute bronchitis with COPD as a secondary diagnosis. Transfers from other institutions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_25, 50801041


Measure Title: Hospital admissions for bacterial pneumonia per 100,000 population, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, and region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Adults age 18 and over with hospital admissions and with a principal diagnosis of bacterial pneumonia, excluding sickle cell or hemoglobin-S conditions, and transfers from other institutions


Comments: The AHRQ PQI software requires bacterial pneumonia to be the principal diagnosis. Admissions for sickle cell disease or HB-S disease, admissions in an immunocompromised state, and transfers from other institutions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_26, 60202011


Measure Title: Deaths per 1,000 adult hospital admissions with acute myocardial infarction (AMI)


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Centers for Delivery Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Inpatient Quality Indicators (IQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All hospital inpatient discharges among people age 18 and over with a principal diagnosis of AMI. Excluded from the denominator are obstetric admissions and patients transferring to another short-term hospital or missing a discharge disposition


Numerator: Subset of the denominator who died


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_27, 60203021


Measure Title: Hospital admissions for heart failure (HF) per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, and region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population, age 18 years and over


Numerator: Hospital admissions of adults age 18 and over with a principal diagnosis of HF, excluding transfers from other institutions, and cases with cardiac procedure codes


Comments: The AHRQ PQI software requires heart failure to be the principal diagnosis and exclusions include the following: admissions with cardiac procedures and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_28, 60203031


Measure Title: Deaths per 1,000 adult hospital admissions with heart failure (HF)


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Inpatient Quality Indicators (IQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All discharges among people age 18 and over with principal diagnosis code of HF, excluding transfers to another short-term hospital, obstetric admissions, and cases with a missing discharge disposition


Numerator: Subset of the denominator who died


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_29, 60204011


Measure Title: Deaths per 1,000 adult hospital admissions with abdominal aortic aneurysm (AAA) repair


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Inpatient Quality Indicators (IQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Discharges age 18 years and over with an AAA repair code in any procedure field and a diagnosis of AAA in any field, excluding obstetric admissions, transfers to another short-term hospital, and cases with a missing discharge disposition


Numerator: Subset of the denominator who died


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_30, 60204021


Measure Title: Deaths per 1,000 hospital admissions with coronary artery bypass graft surgery (CABG), age 40 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Inpatient Quality Indicators (IQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Hospital inpatient discharges, age 40 and over, with a CABG in any procedure field, excluding obstetric admissions and transfers to another hospital


Numerator: Subset of the denominator who died


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_31, 60204031


Measure Title: Deaths per 1,000 hospital admissions with percutaneous transluminal coronary angioplasty (PTCA), age 40 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Inpatient Quality Indicators (IQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Hospital inpatient discharges, age 40 and over, with PTCA in any procedure field, excluding obstetric admissions, transfers to another hospital, and cases with a missing discharge disposition


Numerator: Subset of the denominator who died


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_32, 50401011


Measure Title: Hospital admissions for uncontrolled diabetes without complications per 100,000 population, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of patient’s ZIP Code, location of residence, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population, age 18 years and over.


Numerator: Hospital admissions of adults age 18 and over with discharges with a principal diagnosis of uncontrolled diabetes and without mention of short-term or long-term complications


Comments: Obstetric admissions and transfers from other institutions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_33, 50401021


Measure Title: Hospital admissions for short-term complications of diabetes per 100,000 population, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, median household income of patient's ZIP Code, location of residence, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Adult discharges age 18 and over with a principal diagnosis of diabetes with short-term complications.


Comments: The AHRQ PQI software requires diabetes to be the principal diagnosis and short-term complications include ketoacidosis, hyperosmolarity, and coma. Transfers from other institutions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_34, 50401022


Measure Title: Hospital admissions for short-term complications of diabetes per 100,000 population, children ages 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, median household income of patient's ZIP Code, location of residence, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population ages 6-17


Numerator: Pediatric discharges ages 6-17 with a principal diagnosis of diabetes with short-term complications. Consistent with the AHRQ PDI software, diabetes must be the principal diagnosis and short-term complications include ketoacidosis, hyperosmolarity, and coma. Transfers from other institutions are excluded.


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_35, 50401031


Measure Title: Hospital admissions for long-term complications of diabetes per 100,000 population, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, median household income of patient's ZIP Code, location of residence, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population age 18 and over


Numerator: Hospitalization of adults age 18 and over with hospital inpatient discharges with a principal diagnosis code for diabetes with long-term complications.


Comments: The AHRQ PQI software requires diabetes to be the principal diagnosis and long-term complications include renal, eye, neurologic, circulatory, and other unspecified complications. Transfers from other institutions and obstetric admissions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_37, 70501081


Measure Title: Hospital admissions for immunization-preventable influenza per 100,000 population, age 65 and over


Measure Source: Healthy People 2010


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, location of residence, median household income of patient’s ZIP Code, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates


Denominator: U.S. resident population age 65 and over


Numerator: Hospitalization of adults age 65 and over with any diagnosis of immunization-preventable influenza, excluding transfers from other institutions


Comments: This measure is referred to as measure 1-9c in Healthy People 2010 documentation. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System (ICD-10-CM/PCS). ICD-10-CM codes to identify immunization-preventable influenza include the following: J10.00, J10.01, J10.08, J10.1, J10.2, J10.81, J10.82, J10.83, J10.89, J11.00, J11.08, J11.1, J11.2, J11.81, J11.82, J11.83, and J11.89. Observed (un-adjusted) rates are reported.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_38, 60901031


Measure Title: Deaths per 1,000 adult hospital admissions with pneumonia


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Inpatient Quality Indicators (IQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All discharges age 18 and over with principal diagnosis code of pneumonia, excluding patients transferring to another short-term hospital, obstetric admissions, and cases with a missing discharge disposition


Numerator: Subset of the denominator who died


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_39, 50401071


Measure Title: Hospital admissions for asthma per 100,000 population, ages 18-39


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, location of residence, median household income of patient’s ZIP Code, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of adults age 18 to 39


Numerator: Hospitalization of adults ages 18-39 with hospital inpatient discharges with a principal diagnosis code of asthma


Comments: The AHRQ PQI software requires asthma to be the principal diagnosis on admissions ages 18 to 39 years old, and the following cases are excluded: admissions with cystic fibrosis or anomalies of the respiratory system and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_40, 30501011


Measure Title: Birth trauma - injury to neonate per 1,000 selected live births


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Gender, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


National Denominator: All newborns


National Numerator: Subset of the denominator with any diagnosis of birth trauma, excluding preterm infants with a birth weight less than 2,000 grams, infants with any diagnosis of injury to brachial plexus, and infants with any diagnosis code of osteogenesis imperfecta


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_41, 30501021


Measure Title: Obstetric trauma per 1,000 vaginal deliveries without instrument assistance


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All hospital discharges with a diagnosis of vaginal delivery without instrument assistance


Numerator: Subset of the denominator with any diagnosis or procedure indicating obstetric trauma with 3rd or 4th degree lacerations


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_42, 30501031


Measure Title: Obstetric trauma per 1,000 instrument-assisted deliveries


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Patient Safety Indicators (PSIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, race/ethnicity, bed size of hospital, expected primary payer, location of hospital, location of residence, median household income of patient’s ZIP Code, control of hospital, region, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: All instrument-assisted vaginal deliveries discharged from hospital


Numerator: Subset of the denominator with any diagnosis or procedure indicating obstetric trauma with 3rd or 4th degree lacerations


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_43, 50401041


Measure Title: Hospital admissions for lower extremity amputations among admissions for diabetes per 100,00 population, age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of adults age 18 and older


Numerator: Hospitalizations of adults with a procedure for lower-extremity amputation and a diagnosis of diabetes.


Comments: The AHRQ PQI software requires a procedure code for lower-extremity amputation and a diagnosis of diabetes to be present. Exclusions include admissions for toe amputation or traumatic amputations of the lower extremity, obstetric discharges, and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_44, 50801012


Measure Title: Hospital admissions for dehydration per 100,000 population, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of adults age 18 and older


Numerator: Hospital admissions of adults with a principal diagnosis of dehydration.


Comments: The AHRQ PQI software allows dehydration to be a principal diagnosis or a secondary diagnosis with a principal diagnosis of hyperosmolality and/or hypernatremia, gastroenteritis, or acute kidney injury. Exclusions include the following: admissions with a diagnosis code for chronic renal failure and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_46, 50801051


Measure Title: Admissions for urinary tract infection (UTI) per 100,000 population, age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of adults age 18 and older


Numerator: Hospital admissions of adults with a principal diagnosis of UTI.


Comments: The AHRQ PQI software requires UTI to be the principal diagnosis and exclusions include the following: admissions with kidney or urinary tract disorders, admissions in an immunocompromised state, and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_47, 150104011


Measure Title: Percent of hospital discharges where expected payer is Medicaid or uninsured


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Bed size (hospital), geographic location (hospital), ownership of hospital, region, teaching status of hospital


Data Source: AHRQ, CDOM, HCUP, National Inpatient Sample (NIS)


Denominator: All discharges in community hospitals in the U.S., excluding rehabilitation and long-term, acute care hospitals


Numerator: Subset of the denominator with an expected primary payer of Medicaid or uninsured (including self-pay, charity, and no charge).


Comments: The HCUP National Inpatient Sample (NIS) is drawn from all States participating in HCUP, covering more than 96 percent of the U.S. population. The NIS approximates a 20-percent stratified sample of discharges from U.S. community hospitals, excluding rehabilitation and long-term acute care hospitals. The large sample size in the enables analyses of rare conditions, uncommon treatments, and special patient populations.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_48, 150104012


Measure Title: Percent of hospital costs where expected payer is Medicaid or uninsured


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP).


Table Description


Geographic representation: National


Years available: 2016


Population subgroups: Bed size (hospital), geographic location (hospital), ownership of hospital, region, teaching status of hospitalsex


Data Source: AHRQ, CDOM, HCUP, National Inpatient Sample (NIS)


Denominator: Total hospital costs for all discharges in community hospitals in the U.S., excluding rehabilitation and long-term, acute care hospitals


Numerator: Subset of the denominator with an expected primary payer of Medicaid or uninsured (including self-pay, charity, and no charge).


Comments: The HCUP National Inpatient Sample (NIS) is drawn from all States participating in HCUP, covering more than 96 percent of the U.S. population. The NIS approximates a 20-percent stratified sample of discharges from U.S. community hospitals, excluding rehabilitation and long-term acute care hospitals. The large sample size in the enables analyses of rare conditions, uncommon treatments, and special patient populations.


Total hospital charges were converted to costs using HCUP Cost-to-Charge Ratios based on hospital accounting reports from the Centers for Medicare & Medicaid Services (CMS). Costs reflect the actual expenses incurred in the production of hospital services, such as wages, supplies, and utility costs; charges represent the amount a hospital billed for the case. For each hospital, a hospital-wide cost-to-charge ratio is used. Hospital charges reflect the amount the hospital billed for the entire hospital stay and do not include professional (physician) fees.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_52, 50301022


Measure Title: Emergency department visits with a first-listed diagnosis related to mental health only per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), median household income of the patient's ZIP Code, region


Data Source: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: U.S. resident population


Numerator: Emergency department visits in the U.S. with a first-listed diagnosis related to mental health disorders (see comments)


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System (ICD-10-CM/PCS). ICD-10-CM diagnosis codes related to mental health disorders include the following:


ICD-10-CM DIAGNOSIS

DESCRIPTION

'F064'

Anxiety disorder due to known physiological condition

'F4000'

Agoraphobia, unspecified

'F4001'

Agoraphobia with panic disorder

'F4002'

Agoraphobia without panic disorder

'F4010'

Social phobia, unspecified

'F4011'

Social phobia, generalized

'F40210'

Arachnophobia

'F40218'

Other animal type phobia

'F40220'

Fear of thunderstorms

'F40228'

Other natural environment type phobia

'F40230'

Fear of blood

'F40231'

Fear of injections and transfusions

'F40232'

Fear of other medical care

'F40233'

Fear of injury

'F40240'

Claustrophobia

'F40241'

Acrophobia

'F40242'

Fear of bridges

'F40243'

Fear of flying

'F40248'

Other situational type phobia

'F40290'

Androphobia

'F40291'

Gynephobia

'F40298'

Other specified phobia

'F408'

Other phobic anxiety disorders

'F409'

Phobic anxiety disorder, unspecified

'F410'

Panic disorder [episodic paroxysmal anxiety]

'F411'

Generalized anxiety disorder

'F413'

Other mixed anxiety disorders

'F418'

Other specified anxiety disorders

'F419'

Anxiety disorder, unspecified

'F422'

Mixed obsessional thoughts and acts

'F423'

Hoarding disorder

'F424'

Excoriation (skin-picking) disorder

'F428'

Other obsessive-compulsive disorder

'F429'

Obsessive-compulsive disorder, unspecified

'F4311'

Post-traumatic stress disorder, acute

'F4312'

Post-traumatic stress disorder, chronic

'F930'

Separation anxiety disorder of childhood

'F940'

Selective mutism

'R466'

Undue concern and preoccupation with stressful events

'F0633'

Mood disorder due to known physiol cond w manic features

'F0634'

Mood disorder due to known physiol cond w mixed features

'F3010'

Manic episode without psychotic symptoms, unspecified

'F3011'

Manic episode without psychotic symptoms, mild

'F3012'

Manic episode without psychotic symptoms, moderate

'F3013'

Manic episode, severe, without psychotic symptoms

'F302'

Manic episode, severe with psychotic symptoms

'F303'

Manic episode in partial remission

'F308'

Other manic episodes

'F309'

Manic episode, unspecified

'F310'

Bipolar disorder, current episode hypomanic

'F3110'

Bipolar disord, crnt episode manic w/o psych features, unsp

'F3111'

Bipolar disord, crnt episode manic w/o psych features, mild

'F3112'

Bipolar disord, crnt episode manic w/o psych features, mod

'F3113'

Bipolar disord, crnt epsd manic w/o psych features, severe

'F312'

Bipolar disord, crnt episode manic severe w psych features

'F3130'

Bipolar disord, crnt epsd depress, mild or mod severt, unsp

'F3131'

Bipolar disorder, current episode depressed, mild

'F3132'

Bipolar disorder, current episode depressed, moderate

'F314'

Bipolar disord, crnt epsd depress, sev, w/o psych features

'F315'

Bipolar disord, crnt epsd depress, severe, w psych features

'F3160'

Bipolar disorder, current episode mixed, unspecified

'F3161'

Bipolar disorder, current episode mixed, mild

'F3162'

Bipolar disorder, current episode mixed, moderate

'F3163'

Bipolar disord, crnt epsd mixed, severe, w/o psych features

'F3164'

Bipolar disord, crnt episode mixed, severe, w psych features

'F3171'

Bipolar disord, in partial remis, most recent epsd hypomanic

'F3173'

Bipolar disord, in partial remis, most recent episode manic

'F3175'

Bipolar disord, in partial remis, most recent epsd depress

'F3177'

Bipolar disord, in partial remis, most recent episode mixed

'F3181'

Bipolar II disorder

'F3189'

Other bipolar disorder

'F319'

Bipolar disorder, unspecified

'F340'

Cyclothymic disorder

'F0630'

Mood disorder due to known physiological condition, unsp

'F0631'

Mood disorder due to known physiol cond w depressv features

'F0632'

Mood disord d/t physiol cond w major depressive-like epsd

'F320'

Major depressive disorder, single episode, mild

'F321'

Major depressive disorder, single episode, moderate

'F322'

Major depressv disord, single epsd, sev w/o psych features

'F323'

Major depressv disord, single epsd, severe w psych features

'F324'

Major depressv disorder, single episode, in partial remis

'F328'

Other depressive episodes

'F3281'

Premenstrual dysphoric disorder

'F3289'

Other specified depressive episodes

'F329'

Major depressive disorder, single episode, unspecified

'F330'

Major depressive disorder, recurrent, mild

'F331'

Major depressive disorder, recurrent, moderate

'F332'

Major depressv disorder, recurrent severe w/o psych features

'F333'

Major depressv disorder, recurrent, severe w psych symptoms

'F3341'

Major depressive disorder, recurrent, in partial remission

'F338'

Other recurrent depressive disorders

'F339'

Major depressive disorder, recurrent, unspecified

'F341'

Dysthymic disorder

'F348'

Other persistent mood [affective] disorders

'F3481'

Disruptive mood dysregulation disorder

'F3489'

Other specified persistent mood disorders

'F349'

Persistent mood [affective] disorder, unspecified

'F39'

Unspecified mood [affective] disorder

'O906'

Postpartum mood disturbance

'F631'

Pyromania

'F632'

Kleptomania

'F6381'

Intermittent explosive disorder

'F6389'

Other impulse disorders

'F639'

Impulse disorder, unspecified

'F910'

Conduct disorder confined to family context

'F911'

Conduct disorder, childhood-onset type

'F912'

Conduct disorder, adolescent-onset type

'F913'

Oppositional defiant disorder

'F918'

Other conduct disorders

'F919'

Conduct disorder, unspecified

'F440'

Dissociative amnesia

'F441'

Dissociative fugue

'F442'

Dissociative stupor

'F4481'

Dissociative identity disorder

'F4489'

Other dissociative and conversion disorders

'F449'

Dissociative and conversion disorder, unspecified

'F481'

Depersonalization-derealization syndrome

'F5000'

Anorexia nervosa, unspecified

'F5001'

Anorexia nervosa, restricting type

'F5002'

Anorexia nervosa, binge eating/purging type

'F502'

Bulimia nervosa

'F508'

Other eating disorders

'F5081'

Binge eating disorder

'F5082'

Avoidant/restrictive food intake disorder

'F5089'

Other specified eating disorder

'F509'

Eating disorder, unspecified

'F9821'

Rumination disorder of infancy

'F9829'

Other feeding disorders of infancy and early childhood

'F983'

Pica of infancy and childhood

'F980'

Enuresis not due to a substance or known physiol condition

'F981'

Encopresis not due to a substance or known physiol condition

'F641'

Dual role transvestism

'F642'

Gender identity disorder of childhood

'F648'

Other sex identity disorders

'F649'

Gender identity disorder, unspecified

'F938'

Other childhood emotional disorders

'R45850'

Homicidal ideations

'F0150'

Vascular dementia without behavioral disturbance

'F0151'

Vascular dementia with behavioral disturbance

'F0280'

Dementia in oth diseases classd elswhr w/o behavrl disturb

'F0281'

Dementia in oth diseases classd elswhr w behavioral disturb

'F0390'

Unspecified dementia without behavioral disturbance

'F0391'

Unspecified dementia with behavioral disturbance

'F04'

Amnestic disorder due to known physiological condition

'F05'

Delirium due to known physiological condition

'F0781'

Postconcussional syndrome

'F0789'

Oth personality & behavrl disord due to known physiol cond

'F079'

Unsp personality & behavrl disord due to known physiol cond

'F482'

Pseudobulbar affect

'G300'

Alzheimer's disease with early onset

'G301'

Alzheimer's disease with late onset

'G308'

Other Alzheimer's disease

'G309'

Alzheimer's disease, unspecified

'G3101'

Pick's disease

'G3109'

Other frontotemporal dementia

'G311'

Senile degeneration of brain, not elsewhere classified

'G3183'

Dementia with Lewy bodies

'R4181'

Age-related cognitive decline

'R54'

Age-related physical debility

'F70'

Mild intellectual disabilities

'F71'

Moderate intellectual disabilities

'F72'

Severe intellectual disabilities

'F73'

Profound intellectual disabilities

'F78'

Other intellectual disabilities

'F79'

Unspecified intellectual disabilities

'F800'

Phonological disorder

'F801'

Expressive language disorder

'F802'

Mixed receptive-expressive language disorder

'F804'

Speech and language development delay due to hearing loss

'F8081'

Childhood onset fluency disorder

'F8082'

Social pragmatic communication disorder

'F8089'

Other developmental disorders of speech and language

'F809'

Developmental disorder of speech and language, unspecified

'F810'

Specific reading disorder

'F812'

Mathematics disorder

'F8181'

Disorder of written expression

'F8189'

Other developmental disorders of scholastic skills

'F819'

Developmental disorder of scholastic skills, unspecified

'F82'

Specific developmental disorder of motor function

'F840'

Autistic disorder

'F842'

Rett's syndrome

'F843'

Other childhood disintegrative disorder

'F845'

Asperger's syndrome

'F848'

Other pervasive developmental disorders

'F849'

Pervasive developmental disorder, unspecified

'F88'

Other disorders of psychological development

'F89'

Unspecified disorder of psychological development

'F900'

Attn-defct hyperactivity disorder, predom inattentive type

'F901'

Attn-defct hyperactivity disorder, predom hyperactive type

'F902'

Attention-deficit hyperactivity disorder, combined type

'F908'

Attention-deficit hyperactivity disorder, other type

'F909'

Attention-deficit hyperactivity disorder, unspecified type

'F948'

Other childhood disorders of social functioning

'F949'

Childhood disorder of social functioning, unspecified

'F950'

Transient tic disorder

'F951'

Chronic motor or vocal tic disorder

'F952'

Tourette's disorder

'F958'

Other tic disorders

'F959'

Tic disorder, unspecified

'F984'

Stereotyped movement disorders

'F985'

Adult onset fluency disorder

'R480'

Dyslexia and alexia

'F42'

Obsessive-compulsive disorder

'F4521'

Hypochondriasis

'F4522'

Body dysmorphic disorder

'F633'

Trichotillomania

'R4681'

Obsessive-compulsive behavior

'F068'

Oth mental disorders due to known physiological condition

'F09'

Unsp mental disorder due to known physiological condition

'F488'

Other specified nonpsychotic mental disorders

'F489'

Nonpsychotic mental disorder, unspecified

'F939'

Childhood emotional disorder, unspecified

'F99'

Mental disorder, not otherwise specified

'F650'

Fetishism

'F651'

Transvestic fetishism

'F652'

Exhibitionism

'F653'

Voyeurism

'F654'

Pedophilia

'F6551'

Sexual masochism

'F6552'

Sexual sadism

'F6581'

Frotteurism

'F6589'

Other paraphilias

'F659'

Paraphilia, unspecified

'F070'

Personality change due to known physiological condition

'F21'

Schizotypal disorder

'F600'

Paranoid personality disorder

'F601'

Schizoid personality disorder

'F602'

Antisocial personality disorder

'F603'

Borderline personality disorder

'F604'

Histrionic personality disorder

'F605'

Obsessive-compulsive personality disorder

'F606'

Avoidant personality disorder

'F607'

Dependent personality disorder

'F6081'

Narcissistic personality disorder

'F6089'

Other specific personality disorders

'F609'

Personality disorder, unspecified

'F6811'

Factitious disorder w predom psych signs and symptoms

'F6812'

Factitious disorder w predom physical signs and symptoms

'F6813'

Factitious disord w comb psych and physcl signs and symptoms

'F688'

Other specified disorders of adult personality and behavior

'F69'

Unspecified disorder of adult personality and behavior

'F060'

Psychotic disorder w hallucin due to known physiol condition

'F061'

Catatonic disorder due to known physiological condition

'F062'

Psychotic disorder w delusions due to known physiol cond

'F200'

Paranoid schizophrenia

'F201'

Disorganized schizophrenia

'F202'

Catatonic schizophrenia

'F203'

Undifferentiated schizophrenia

'F205'

Residual schizophrenia

'F2081'

Schizophreniform disorder

'F2089'

Other schizophrenia

'F209'

Schizophrenia, unspecified

'F22'

Delusional disorders

'F23'

Brief psychotic disorder

'F24'

Shared psychotic disorder

'F250'

Schizoaffective disorder, bipolar type

'F251'

Schizoaffective disorder, depressive type

'F258'

Other schizoaffective disorders

'F259'

Schizoaffective disorder, unspecified

'F28'

Oth psych disorder not due to a sub or known physiol cond

'F29'

Unsp psychosis not due to a substance or known physiol cond

'F520'

Hypoactive sexual desire disorder

'F521'

Sexual aversion disorder

'F5221'

Male erectile disorder

'F5222'

Female sexual arousal disorder

'F5231'

Female orgasmic disorder

'F5232'

Male orgasmic disorder

'F524'

Premature ejaculation

'F525'

Vaginismus not due to a substance or known physiol condition

'F526'

Dyspareunia not due to a substance or known physiol cond

'F528'

Oth sexual dysfnct not due to a sub or known physiol cond

'F529'

Unsp sexual dysfnct not due to a sub or known physiol cond

'F53'

Puerperal psychosis

'F640'

Transsexualism

'F6550'

Sadomasochism, unspecified

'F66'

Other sexual disorders

'R37'

Sexual dysfunction, unspecified

'F5101'

Primary insomnia

'F5102'

Adjustment insomnia

'F5103'

Paradoxical insomnia

'F5104'

Psychophysiologic insomnia

'F5105'

Insomnia due to other mental disorder

'F5109'

Oth insomnia not due to a substance or known physiol cond

'F5111'

Primary hypersomnia

'F5112'

Insufficient sleep syndrome

'F5113'

Hypersomnia due to other mental disorder

'F5119'

Oth hypersomnia not due to a substance or known physiol cond

'F513'

Sleepwalking [somnambulism]

'F514'

Sleep terrors [night terrors]

'F515'

Nightmare disorder

'F518'

Oth sleep disord not due to a sub or known physiol cond

'F519'

Sleep disorder not due to a sub or known physiol cond, unsp

'F444'

Conversion disorder with motor symptom or deficit

'F445'

Conversion disorder with seizures or convulsions

'F446'

Conversion disorder with sensory symptom or deficit

'F447'

Conversion disorder with mixed symptom presentation

'F450'

Somatization disorder

'F451'

Undifferentiated somatoform disorder

'F4520'

Hypochondriacal disorder, unspecified

'F4529'

Other hypochondriacal disorders

'F4541'

Pain disorder exclusively related to psychological factors

'F4542'

Pain disorder with related psychological factors

'F458'

Other somatoform disorders

'F459'

Somatoform disorder, unspecified

'F54'

Psych & behavrl factors assoc w disord or dis classd elswhr

'F6810'

Factitious disorder, unspecified

'R45851'

Suicidal ideations

'T1491'

Suicide attempt (through FY 2017)

'T1491XA'

Suicide attempt, initial encounter

'T360X2A'

Poisoning by penicillins, intentional self-harm, init encntr

'T361X2A'

Poisn by cephalospor/oth beta-lactm antibiot, slf-hrm, init

'T362X2A'

Poisoning by chloramphenicol group, self-harm, init

'T363X2A'

Poisoning by macrolides, intentional self-harm, init encntr

'T364X2A'

Poisoning by tetracyclines, intentional self-harm, init

'T365X2A'

Poisoning by aminoglycosides, intentional self-harm, init

'T366X2A'

Poisoning by rifampicins, intentional self-harm, init encntr

'T367X2A'

Poisoning by antifungal antibiot, sys used, self-harm, init

'T368X2A'

Poisoning by oth systemic antibiotics, self-harm, init

'T3692XA'

Poisoning by unsp systemic antibiotic, self-harm, init

'T370X2A'

Poisoning by sulfonamides, intentional self-harm, init

'T371X2A'

Poisoning by antimycobacterial drugs, self-harm, init

'T372X2A'

Poisn by antimalari/drugs act on bld protzoa, slf-hrm, init

'T373X2A'

Poisoning by oth antiprotozoal drugs, self-harm, init

'T374X2A'

Poisoning by anthelminthics, intentional self-harm, init

'T375X2A'

Poisoning by antiviral drugs, intentional self-harm, init

'T378X2A'

Poisn by oth systemic anti-infect/parasit, self-harm, init

'T3792XA'

Poisn by unsp sys anti-infect and antiparastc, slf-hrm, init

'T380X2A'

Poisoning by glucocort/synth analog, self-harm, init

'T381X2A'

Poisoning by thyroid hormones and sub, self-harm, init

'T382X2A'

Poisoning by antithyroid drugs, intentional self-harm, init

'T383X2A'

Poisn by insulin and oral hypoglycemic drugs, slf-hrm, init

'T384X2A'

Poisoning by oral contraceptives, self-harm, init

'T385X2A'

Poisoning by oth estrogens and progestogens, self-harm, init

'T386X2A'

Poisn by antigonadtr/antiestr/antiandrg, NEC, slf-hrm, init

'T387X2A'

Poisn by androgens and anabolic congeners, self-harm, init

'T38802A'

Poisn by unsp hormones and synthetic sub, self-harm, init

'T38812A'

Poisoning by anterior pituitary hormones, self-harm, init

'T38892A'

Poisoning by oth hormones and synthetic sub, self-harm, init

'T38902A'

Poisoning by unsp hormone antagonists, self-harm, init

'T38992A'

Poisoning by oth hormone antagonists, self-harm, init

'T39012A'

Poisoning by aspirin, intentional self-harm, init encntr

'T39092A'

Poisoning by salicylates, intentional self-harm, init encntr

'T391X2A'

Poisoning by 4-Aminophenol derivatives, self-harm, init

'T392X2A'

Poisoning by pyrazolone derivatives, self-harm, init

'T39312A'

Poisoning by propionic acid derivatives, self-harm, init

'T39392A'

Poisn by oth nonsteroid anti-inflam drugs, self-harm, init

'T394X2A'

Poisoning by antirheumatics, NEC, self-harm, init

'T398X2A'

Poisn by oth nonopio analges/antipyret, NEC, self-harm, init

'T3992XA'

Poisn by unsp nonopi analgs/antipyr/antirheu, slf-hrm, init

'T405X2A'

Poisoning by cocaine, intentional self-harm, init encntr

'T407X2A'

Poisoning by cannabis (derivatives), self-harm, init

'T408X2A'

Poisoning by lysergide, intentional self-harm, init encntr

'T40902A'

Poisoning by unsp psychodysleptics, self-harm, init

'T40992A'

Poisoning by oth psychodysleptics, self-harm, init

'T410X2A'

Poisoning by inhaled anesthetics, self-harm, init

'T411X2A'

Poisoning by intravenous anesthetics, self-harm, init

'T41202A'

Poisoning by unsp general anesthetics, self-harm, init

'T41292A'

Poisoning by oth general anesthetics, self-harm, init

'T413X2A'

Poisoning by local anesthetics, intentional self-harm, init

'T4142XA'

Poisoning by unsp anesthetic, intentional self-harm, init

'T415X2A'

Poisoning by therapeutic gases, intentional self-harm, init

'T420X2A'

Poisoning by hydantoin derivatives, self-harm, init

'T421X2A'

Poisoning by iminostilbenes, intentional self-harm, init

'T422X2A'

Poisn by succinimides and oxazolidinediones, self-harm, init

'T423X2A'

Poisoning by barbiturates, intentional self-harm, init

'T424X2A'

Poisoning by benzodiazepines, intentional self-harm, init

'T425X2A'

Poisoning by mixed antiepileptics, self-harm, init

'T426X2A'

Poisn by oth antieplptc and sed-hypntc drugs, slf-hrm, init

'T4272XA'

Poisn by unsp antieplptc and sed-hypntc drugs, slf-hrm, init

'T428X2A'

Poisn by antiparkns drug/centr musc-tone depr, slf-hrm, init

'T43012A'

Poisoning by tricyclic antidepressants, self-harm, init

'T43022A'

Poisoning by tetracyclic antidepressants, self-harm, init

'T431X2A'

Poisoning by MAO inhib antidepressants, self-harm, init

'T43202A'

Poisoning by unsp antidepressants, self-harm, init

'T43212A'

Poisn by slctv seroton/norepineph reup inhibtr,slf-hrm, init

'T43222A'

Poisn by slctv serotonin reuptake inhibtr, self-harm, init

'T43292A'

Poisoning by oth antidepressants, self-harm, init

'T433X2A'

Poisn by phenothiaz antipsychot/neurolept, self-harm, init

'T434X2A'

Poisn by butyrophen/thiothixen neuroleptc, self-harm, init

'T43502A'

Poisoning by unsp antipsychot/neurolept, self-harm, init

'T43592A'

Poisoning by oth antipsychot/neurolept, self-harm, init

'T43602A'

Poisoning by unsp psychostimulants, self-harm, init

'T43612A'

Poisoning by caffeine, intentional self-harm, init encntr

'T43622A'

Poisoning by amphetamines, intentional self-harm, init

'T43632A'

Poisoning by methylphenidate, intentional self-harm, init

'T43692A'

Poisoning by oth psychostimulants, self-harm, init

'T438X2A'

Poisoning by oth psychotropic drugs, self-harm, init

'T4392XA'

Poisoning by unsp psychotropic drug, self-harm, init

'T440X2A'

Poisoning by anticholinesterase agents, self-harm, init

'T441X2A'

Poisoning by oth parasympathomimetics, self-harm, init

'T442X2A'

Poisoning by ganglionic blocking drugs, self-harm, init

'T443X2A'

Poisn by oth parasympath and spasmolytics, self-harm, init

'T444X2A'

Poisn by predom alpha-adrenocpt agonists, self-harm, init

'T445X2A'

Poisoning by predom beta-adrenocpt agonists, self-harm, init

'T446X2A'

Poisoning by alpha-adrenocpt antagonists, self-harm, init

'T447X2A'

Poisoning by beta-adrenocpt antagonists, self-harm, init

'T448X2A'

Poisn by centr-acting/adren-neurn-block agnt, slf-hrm, init

'T44902A'

Poisn by unsp drugs aff the autonm nrv sys, slf-hrm, init

'T44992A'

Poisn by oth drug aff the autonm nervous sys, slf-hrm, init

'T450X2A'

Poisoning by antiallerg/antiemetic, self-harm, init

'T451X2A'

Poisoning by antineopl and immunosup drugs, self-harm, init

'T452X2A'

Poisoning by vitamins, intentional self-harm, init encntr

'T453X2A'

Poisoning by enzymes, intentional self-harm, init encntr

'T454X2A'

Poisoning by iron and its compounds, self-harm, init

'T45512A'

Poisoning by anticoagulants, intentional self-harm, init

'T45522A'

Poisoning by antithrombotic drugs, self-harm, init

'T45602A'

Poisoning by unsp fibrin-affct drugs, self-harm, init

'T45612A'

Poisoning by thrombolytic drug, intentional self-harm, init

'T45622A'

Poisoning by hemostatic drug, intentional self-harm, init

'T45692A'

Poisoning by oth fibrin-affct drugs, self-harm, init

'T457X2A'

Poisn by anticoag antag, vit K and oth coag, slf-hrm, init

'T458X2A'

Poisn by oth prim sys and hematolog agents, slf-hrm, init

'T4592XA'

Poisn by unsp prim sys and hematolog agent, slf-hrm, init

'T460X2A'

Poisn by cardi-stim glycos/drug simlar act, self-harm, init

'T461X2A'

Poisoning by calcium-channel blockers, self-harm, init

'T462X2A'

Poisoning by oth antidysrhythmic drugs, self-harm, init

'T463X2A'

Poisoning by coronary vasodilators, self-harm, init

'T464X2A'

Poisn by angiotens-convert-enzyme inhibtr, self-harm, init

'T465X2A'

Poisoning by oth antihypertensive drugs, self-harm, init

'T466X2A'

Poisn by antihyperlip and antiarterio drugs, self-harm, init

'T467X2A'

Poisoning by peripheral vasodilators, self-harm, init

'T468X2A'

Poisn by antivaric drugs, inc scler agents, self-harm, init

'T46902A'

Poisn by unsp agents aff the cardiovasc sys, self-harm, init

'T46992A'

Poisn by oth agents aff the cardiovasc sys, self-harm, init

'T470X2A'

Poisoning by histamine H2-receptor blockers, self-harm, init

'T471X2A'

Poisn by oth antacids & anti-gstrc-sec drugs, slf-hrm, init

'T472X2A'

Poisoning by stimulant laxatives, self-harm, init

'T473X2A'

Poisoning by saline and osmotic laxatives, self-harm, init

'T474X2A'

Poisoning by oth laxatives, intentional self-harm, init

'T475X2A'

Poisoning by digestants, intentional self-harm, init encntr

'T476X2A'

Poisoning by antidiarrheal drugs, self-harm, init

'T477X2A'

Poisoning by emetics, intentional self-harm, init encntr

'T478X2A'

Poisoning by oth agents aff GI sys, self-harm, init

'T4792XA'

Poisoning by unsp agents aff the GI sys, self-harm, init

'T480X2A'

Poisoning by oxytocic drugs, intentional self-harm, init

'T481X2A'

Poisoning by skeletal muscle relaxants, self-harm, init

'T48202A'

Poisoning by unsp drugs acting on muscles, self-harm, init

'T48292A'

Poisoning by oth drugs acting on muscles, self-harm, init

'T483X2A'

Poisoning by antitussives, intentional self-harm, init

'T484X2A'

Poisoning by expectorants, intentional self-harm, init

'T485X2A'

Poisoning by oth anti-common-cold drugs, self-harm, init

'T486X2A'

Poisoning by antiasthmatics, intentional self-harm, init

'T48902A'

Poisn by unsp agents prim act on the resp sys, slf-hrm, init

'T48992A'

Poisn by oth agents prim act on the resp sys, slf-hrm, init

'T490X2A'

Poisn by local antifung/infect/inflamm drugs, slf-hrm, init

'T491X2A'

Poisoning by antipruritics, intentional self-harm, init

'T492X2A'

Poisoning by local astringents/detergents, self-harm, init

'T493X2A'

Poisn by emollients, demulcents and protect, self-harm, init

'T494X2A'

Poisn by keratolyt/keratplst/hair trmt drug, self-harm, init

'T495X2A'

Poisoning by opth drugs and preparations, self-harm, init

'T496X2A'

Poisoning by otorhino drugs and prep, self-harm, init

'T497X2A'

Poisn by dental drugs, topically applied, self-harm, init

'T498X2A'

Poisoning by oth topical agents, intentional self-harm, init

'T4992XA'

Poisoning by unsp topical agent, intentional self-harm, init

'T500X2A'

Poisoning by mineralocorticoids and antag, self-harm, init

'T501X2A'

Poisoning by loop diuretics, intentional self-harm, init

'T502X2A'

Poisn by crbnc-anhydr inhibtr,benzo/oth diuretc,slf-hrm,init

'T503X2A'

Poisn by electrolytic/caloric/wtr-bal agnt, self-harm, init

'T504X2A'

Poisoning by drugs aff uric acid metab, self-harm, init

'T505X2A'

Poisoning by appetite depressants, self-harm, init

'T506X2A'

Poisoning by antidotes and chelating agents, self-harm, init

'T507X2A'

Poisn by analeptics and opioid receptor antag, slf-hrm, init

'T508X2A'

Poisoning by diagnostic agents, intentional self-harm, init

'T50902A'

Poisoning by unsp drug/meds/biol subst, self-harm, init

'T50992A'

Poisoning by oth drug/meds/biol subst, self-harm, init

'T50A12A'

Poisn by pertuss vaccn, inc combin w pertuss, slf-hrm, init

'T50A22A'

Poisn by mixed bact vaccines w/o a pertuss, self-harm, init

'T50A92A'

Poisoning by oth bacterial vaccines, self-harm, init

'T50B12A'

Poisoning by smallpox vaccines, intentional self-harm, init

'T50B92A'

Poisoning by oth viral vaccines, intentional self-harm, init

'T50Z12A'

Poisoning by immunoglobulin, intentional self-harm, init

'T50Z92A'

Poisoning by oth vaccines and biolg substnc, self-harm, init

'T510X2A'

Toxic effect of ethanol, intentional self-harm, init encntr

'T511X2A'

Toxic effect of methanol, intentional self-harm, init encntr

'T512X2A'

Toxic effect of 2-Propanol, intentional self-harm, init

'T513X2A'

Toxic effect of fusel oil, intentional self-harm, init

'T518X2A'

Toxic effect of oth alcohols, intentional self-harm, init

'T5192XA'

Toxic effect of unsp alcohol, intentional self-harm, init

'T520X2A'

Toxic effect of petroleum products, self-harm, init

'T521X2A'

Toxic effect of benzene, intentional self-harm, init encntr

'T522X2A'

Toxic effect of homologues of benzene, self-harm, init

'T523X2A'

Toxic effect of glycols, intentional self-harm, init encntr

'T524X2A'

Toxic effect of ketones, intentional self-harm, init encntr

'T528X2A'

Toxic effect of organic solvents, self-harm, init

'T5292XA'

Toxic effect of unsp organic solvent, self-harm, init

'T530X2A'

Toxic effect of carbon tetrachloride, self-harm, init

'T531X2A'

Toxic effect of chloroform, intentional self-harm, init

'T532X2A'

Toxic effect of trichloroethylene, self-harm, init

'T533X2A'

Toxic effect of tetrachloroethylene, self-harm, init

'T534X2A'

Toxic effect of dichloromethane, intentional self-harm, init

'T535X2A'

Toxic effect of chlorofluorocarbons, self-harm, init

'T536X2A'

Tox eff of halgn deriv of aliphatic hydrocrb, slf-hrm, init

'T537X2A'

Toxic eff of halgn deriv of aromatic hydrocrb, slf-hrm, init

'T5392XA'

Tox eff of unsp halgn deriv of aromat hydrocrb,slf-hrm, init

'T540X2A'

Toxic effect of phenol and phenol homolog, self-harm, init

'T541X2A'

Toxic effect of corrosive organic compounds, self-harm, init

'T542X2A'

Tox eff of corrosv acids & acid-like substnc, slf-hrm, init

'T543X2A'

Tox eff of corrosv alkalis & alk-like substnc, slf-hrm, init

'T5492XA'

Toxic effect of unsp corrosive substance, self-harm, init

'T550X2A'

Toxic effect of soaps, intentional self-harm, init encntr

'T551X2A'

Toxic effect of detergents, intentional self-harm, init

'T560X2A'

Toxic effect of lead and its compounds, self-harm, init

'T561X2A'

Toxic effect of mercury and its compounds, self-harm, init

'T562X2A'

Toxic effect of chromium and its compounds, self-harm, init

'T563X2A'

Toxic effect of cadmium and its compounds, self-harm, init

'T564X2A'

Toxic effect of copper and its compounds, self-harm, init

'T565X2A'

Toxic effect of zinc and its compounds, self-harm, init

'T566X2A'

Toxic effect of tin and its compounds, self-harm, init

'T567X2A'

Toxic effect of beryllium and its compounds, self-harm, init

'T56812A'

Toxic effect of thallium, intentional self-harm, init encntr

'T56892A'

Toxic effect of oth metals, intentional self-harm, init

'T5692XA'

Toxic effect of unsp metal, intentional self-harm, init

'T570X2A'

Toxic effect of arsenic and its compounds, self-harm, init

'T571X2A'

Toxic effect of phosphorus and its compnd, self-harm, init

'T572X2A'

Toxic effect of manganese and its compounds, self-harm, init

'T573X2A'

Toxic effect of hydrogen cyanide, self-harm, init

'T578X2A'

Toxic effect of inorganic substances, self-harm, init

'T5792XA'

Toxic effect of unsp inorganic substance, self-harm, init

'T5802XA'

Toxic eff of carb monx from mtr veh exhaust, slf-hrm, init

'T5812XA'

Toxic effect of carb monx from utility gas, self-harm, init

'T582X2A'

Tox eff of carb monx fr incmpl combst dmst fuel,slf-hrm,init

'T588X2A'

Toxic effect of carb monx from oth source, self-harm, init

'T5892XA'

Toxic effect of carb monx from unsp source, self-harm, init

'T590X2A'

Toxic effect of nitrogen oxides, intentional self-harm, init

'T591X2A'

Toxic effect of sulfur dioxide, intentional self-harm, init

'T592X2A'

Toxic effect of formaldehyde, intentional self-harm, init

'T593X2A'

Toxic effect of lacrimogenic gas, self-harm, init

'T594X2A'

Toxic effect of chlorine gas, intentional self-harm, init

'T595X2A'

Tox eff of fluorine gas and hydrogen fluoride, slf-hrm, init

'T596X2A'

Toxic effect of hydrogen sulfide, self-harm, init

'T597X2A'

Toxic effect of carbon dioxide, intentional self-harm, init

'T59812A'

Toxic effect of smoke, intentional self-harm, init encntr

'T59892A'

Toxic effect of gases, fumes and vapors, self-harm, init

'T5992XA'

Toxic effect of unsp gases, fumes and vapors, slf-hrm, init

'T600X2A'

Toxic eff of organophos and carbamate insect, slf-hrm, init

'T601X2A'

Toxic effect of halogenated insecticides, self-harm, init

'T602X2A'

Toxic effect of insecticides, intentional self-harm, init

'T603X2A'

Toxic effect of herbicides and fungicides, self-harm, init

'T604X2A'

Toxic effect of rodenticides, intentional self-harm, init

'T608X2A'

Toxic effect of oth pesticides, intentional self-harm, init

'T6092XA'

Toxic effect of unsp pesticide, intentional self-harm, init

'T6102XA'

Ciguatera fish poisoning, intentional self-harm, init encntr

'T6112XA'

Scombroid fish poisoning, intentional self-harm, init encntr

'T61772A'

Other fish poisoning, intentional self-harm, init encntr

'T61782A'

Oth shellfish poisoning, intentional self-harm, init encntr

'T618X2A'

Toxic effect of oth seafood, intentional self-harm, init

'T6192XA'

Toxic effect of unsp seafood, intentional self-harm, init

'T620X2A'

Toxic effect of ingested mushrooms, self-harm, init

'T621X2A'

Toxic effect of ingested berries, self-harm, init

'T622X2A'

Toxic effect of ingested (parts of) plant(s), slf-hrm, init

'T628X2A'

Toxic effect of noxious substnc eaten as food, slf-hrm, init

'T6292XA'

Toxic eff of unsp noxious sub eaten as food, slf-hrm, init

'T63002A'

Toxic effect of unsp snake venom, self-harm, init

'T63012A'

Toxic effect of rattlesnake venom, self-harm, init

'T63022A'

Toxic effect of coral snake venom, self-harm, init

'T63032A'

Toxic effect of taipan venom, intentional self-harm, init

'T63042A'

Toxic effect of cobra venom, intentional self-harm, init

'T63062A'

Toxic effect of venom of N & S American snake, slf-hrm, init

'T63072A'

Toxic effect of venom of Australian snake, self-harm, init

'T63082A'

Toxic eff of venom of African and Asian snake, slf-hrm, init

'T63092A'

Toxic effect of venom of snake, intentional self-harm, init

'T63112A'

Toxic effect of venom of gila monster, self-harm, init

'T63122A'

Toxic effect of venom of venomous lizard, self-harm, init

'T63192A'

Toxic effect of venom of reptiles, self-harm, init

'T632X2A'

Toxic effect of venom of scorpion, self-harm, init

'T63302A'

Toxic effect of unsp spider venom, self-harm, init

'T63312A'

Toxic effect of venom of black widow spider, self-harm, init

'T63322A'

Toxic effect of venom of tarantula, self-harm, init

'T63332A'

Toxic effect of venom of brown recluse spider, slf-hrm, init

'T63392A'

Toxic effect of venom of spider, intentional self-harm, init

'T63412A'

Toxic effect of venom of centipede/millipede, slf-hrm, init

'T63422A'

Toxic effect of venom of ants, intentional self-harm, init

'T63432A'

Toxic effect of venom of caterpillars, self-harm, init

'T63442A'

Toxic effect of venom of bees, intentional self-harm, init

'T63452A'

Toxic effect of venom of hornets, self-harm, init

'T63462A'

Toxic effect of venom of wasps, intentional self-harm, init

'T63482A'

Toxic effect of venom of arthropod, self-harm, init

'T63512A'

Toxic effect of contact w stingray, self-harm, init

'T63592A'

Toxic effect of contact w oth venomous fish, self-harm, init

'T63612A'

Toxic effect of contact w Portugese Man-o-war, slf-hrm, init

'T63622A'

Toxic effect of contact w oth jellyfish, self-harm, init

'T63632A'

Toxic effect of contact w sea anemone, self-harm, init

'T63692A'

Toxic eff of cntct w oth venom marine animals, slf-hrm, init

'T63712A'

Toxic effect of contact w venom marine plant, slf-hrm, init

'T63792A'

Toxic effect of contact w oth venomous plant, slf-hrm, init

'T63812A'

Toxic effect of contact w venomous frog, self-harm, init

'T63822A'

Toxic effect of contact w venomous toad, self-harm, init

'T63832A'

Toxic effect of contact w oth venomous amphib, slf-hrm, init

'T63892A'

Toxic effect of contact w oth venom animals, slf-hrm, init

'T6392XA'

Toxic effect of contact w unsp venom animal, slf-hrm, init

'T6402XA'

Toxic effect of aflatoxin, intentional self-harm, init

'T6482XA'

Toxic effect of mycotoxin food contaminants, self-harm, init

'T650X2A'

Toxic effect of cyanides, intentional self-harm, init encntr

'T651X2A'

Toxic effect of strychnine and its salts, self-harm, init

'T65212A'

Toxic effect of chewing tobacco, intentional self-harm, init

'T65222A'

Toxic effect of tobacco cigarettes, self-harm, init

'T65292A'

Toxic effect of tobacco and nicotine, self-harm, init

'T653X2A'

Tox eff of nitrodrv/aminodrv of benzn/homolog, slf-hrm, init

'T654X2A'

Toxic effect of carbon disulfide, self-harm, init

'T655X2A'

Tox eff of nitro & oth nitric acids & esters, slf-hrm, init

'T656X2A'

Toxic effect of paints and dyes, NEC, self-harm, init

'T65812A'

Toxic effect of latex, intentional self-harm, init encntr

'T65822A'

Toxic eff of harmful algae and algae toxins, slf-hrm, init

'T65832A'

Toxic effect of fiberglass, intentional self-harm, init

'T65892A'

Toxic effect of oth substances, intentional self-harm, init

'T6592XA'

Toxic effect of unsp substance, intentional self-harm, init

'T71112A'

Asphyxiation due to smothering under pillow, self-harm, init

'T71122A'

Asphyxiation due to plastic bag, intentional self-harm, init

'T71132A'

Asphyx due to being trapped in bed linens, self-harm, init

'T71152A'

Asphyxiation due to smothering in furniture, self-harm, init

'T71162A'

Asphyxiation due to hanging, intentional self-harm, init

'T71192A'

Asphyx d/t mech thrt to breathe d/t oth cause, slf-hrm, init

'T71222A'

Asphyx due to being trapped in a car trunk, self-harm, init

'T71232A'

Asphyx d/t being trap in a (discarded) refrig, slf-hrm, init

'X710XXA'

Intentional self-harm by drown while in bathtub, init

'X711XXA'

Intentional self-harm by drown while in swimming pool, init

'X712XXA'

Self-harm by drown after jump into swimming pool, init

'X713XXA'

Intentional self-harm by drown in natural water, init

'X718XXA'

Oth intentional self-harm by drowning and submersion, init

'X719XXA'

Intentional self-harm by drowning and submersion, unsp, init

'X72XXXA'

Intentional self-harm by handgun discharge, init encntr

'X730XXA'

Intentional self-harm by shotgun discharge, init encntr

'X731XXA'

Intentional self-harm by hunting rifle discharge, init

'X732XXA'

Intentional self-harm by machine gun discharge, init encntr

'X738XXA'

Intentional self-harm by oth larger firearm discharge, init

'X739XXA'

Intentional self-harm by unsp larger firearm discharge, init

'X7401XA'

Intentional self-harm by airgun, initial encounter

'X7402XA'

Intentional self-harm by paintball gun, initial encounter

'X7409XA'

Self-harm by oth gas, air or spring-operated gun, init

'X748XXA'

Intentional self-harm by oth firearm discharge, init encntr

'X749XXA'

Intentional self-harm by unsp firearm discharge, init encntr

'X75XXXA'

Intentional self-harm by explosive material, init encntr

'X76XXXA'

Intentional self-harm by smoke, fire and flames, init encntr

'X770XXA'

Intentional self-harm by steam or hot vapors, init encntr

'X771XXA'

Intentional self-harm by hot tap water, initial encounter

'X772XXA'

Intentional self-harm by other hot fluids, initial encounter

'X773XXA'

Intentional self-harm by hot household appliances, init

'X778XXA'

Intentional self-harm by other hot objects, init encntr

'X779XXA'

Intentional self-harm by unsp hot objects, init encntr

'X780XXA'

Intentional self-harm by sharp glass, initial encounter

'X781XXA'

Intentional self-harm by knife, initial encounter

'X782XXA'

Intentional self-harm by sword or dagger, initial encounter

'X788XXA'

Intentional self-harm by other sharp object, init encntr

'X789XXA'

Intentional self-harm by unsp sharp object, init encntr

'X79XXXA'

Intentional self-harm by blunt object, initial encounter

'X80XXXA'

Intentional self-harm by jumping from a high place, init

'X810XXA'

Self-harm by jumping or lying in front of mtr veh, init

'X811XXA'

Slf-hrm by jumping or lying in front of (subway) train, init

'X818XXA'

Slf-hrm by jumping or lying in front of moving object, init

'X820XXA'

Intentional collision of motor vehicle w mtr veh, init

'X821XXA'

Intentional collision of motor vehicle w train, init encntr

'X822XXA'

Intentional collision of motor vehicle w tree, init encntr

'X828XXA'

Oth intentional self-harm by crashing of motor vehicle, init

'X830XXA'

Intentional self-harm by crashing of aircraft, init encntr

'X831XXA'

Intentional self-harm by electrocution, initial encounter

'X832XXA'

Intentional self-harm by exposure to extremes of cold, init

'X838XXA'

Intentional self-harm by other specified means, init encntr

'F59'

Unsp behavrl synd assoc w physiol disturb and physcl factors

'F988'

Oth behav/emotn disord w onset usly occur in chldhd and adol

'F989'

Unsp behav/emotn disord w onst usly occur in chldhd and adol

'R452'

Unhappiness

'R453'

Demoralization and apathy

'R454'

Irritability and anger

'R455'

Hostility

'R456'

Violent behavior

'R457'

State of emotional shock and stress, unspecified

'R4581'

Low self-esteem

'R4582'

Worries

'R4583'

Excessive crying of child, adolescent or adult

'R4584'

Anhedonia

'R4586'

Emotional lability

'R4589'

Other symptoms and signs involving emotional state

'R460'

Very low level of personal hygiene

'R461'

Bizarre personal appearance

'R462'

Strange and inexplicable behavior

'R463'

Overactivity

'R464'

Slowness and poor responsiveness

'R465'

Suspiciousness and marked evasiveness

'R467'

Verbosity and circumstantial detail obscuring rsn for cntct

'R4689'

Other symptoms and signs involving appearance and behavior

'F430'

Acute stress reaction

'F4310'

Post-traumatic stress disorder, unspecified

'F4320'

Adjustment disorder, unspecified

'F4321'

Adjustment disorder with depressed mood

'F4322'

Adjustment disorder with anxiety

'F4323'

Adjustment disorder with mixed anxiety and depressed mood

'F4324'

Adjustment disorder with disturbance of conduct

'F4325'

Adjustment disorder w mixed disturb of emotions and conduct

'F4329'

Adjustment disorder with other symptoms

'F438'

Other reactions to severe stress

'F439'

Reaction to severe stress, unspecified

'F941'

Reactive attachment disorder of childhood

'F942'

Disinhibited attachment disorder of childhood



The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_53, 50301023


Measure Title: Emergency department visits with a first-listed diagnosis related to substance abuse only, per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), median household income of the patient's ZIP Code, region


Data Source: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: U.S. resident population


Numerator: Emergency department visits in the U.S. with a first-listed diagnosis related to substance use (see comments)


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System (ICD-10-CM/PCS). ICD-10-CM diagnosis codes related to substance use include the following:


ICD-10-CM DIAGNOSIS

DESCRIPTION

'F1010'

Alcohol abuse, uncomplicated

'F10120'

Alcohol abuse with intoxication, uncomplicated

'F10121'

Alcohol abuse with intoxication delirium

'F10129'

Alcohol abuse with intoxication, unspecified

'F1014'

Alcohol abuse with alcohol-induced mood disorder

'F10150'

Alcohol abuse w alcoh-induce psychotic disorder w delusions

'F10151'

Alcohol abuse w alcoh-induce psychotic disorder w hallucin

'F10159'

Alcohol abuse with alcohol-induced psychotic disorder, unsp

'F10180'

Alcohol abuse with alcohol-induced anxiety disorder

'F10181'

Alcohol abuse with alcohol-induced sexual dysfunction

'F10182'

Alcohol abuse with alcohol-induced sleep disorder

'F10188'

Alcohol abuse with other alcohol-induced disorder

'F1019'

Alcohol abuse with unspecified alcohol-induced disorder

'F1020'

Alcohol dependence, uncomplicated

'F10220'

Alcohol dependence with intoxication, uncomplicated

'F10221'

Alcohol dependence with intoxication delirium

'F10229'

Alcohol dependence with intoxication, unspecified

'F10230'

Alcohol dependence with withdrawal, uncomplicated

'F10231'

Alcohol dependence with withdrawal delirium

'F10232'

Alcohol dependence w withdrawal with perceptual disturbance

'F10239'

Alcohol dependence with withdrawal, unspecified

'F1024'

Alcohol dependence with alcohol-induced mood disorder

'F10250'

Alcohol depend w alcoh-induce psychotic disorder w delusions

'F10251'

Alcohol depend w alcoh-induce psychotic disorder w hallucin

'F10259'

Alcohol dependence w alcoh-induce psychotic disorder, unsp

'F1026'

Alcohol depend w alcoh-induce persisting amnestic disorder

'F1027'

Alcohol dependence with alcohol-induced persisting dementia

'F10280'

Alcohol dependence with alcohol-induced anxiety disorder

'F10281'

Alcohol dependence with alcohol-induced sexual dysfunction

'F10282'

Alcohol dependence with alcohol-induced sleep disorder

'F10288'

Alcohol dependence with other alcohol-induced disorder

'F1029'

Alcohol dependence with unspecified alcohol-induced disorder

'F10920'

Alcohol use, unspecified with intoxication, uncomplicated

'F10921'

Alcohol use, unspecified with intoxication delirium

'F10929'

Alcohol use, unspecified with intoxication, unspecified

'F1094'

Alcohol use, unspecified with alcohol-induced mood disorder

'F10950'

Alcohol use, unsp w alcoh-induce psych disorder w delusions

'F10951'

Alcohol use, unsp w alcoh-induce psych disorder w hallucin

'F10959'

Alcohol use, unsp w alcohol-induced psychotic disorder, unsp

'F1096'

Alcohol use, unsp w alcoh-induce persist amnestic disorder

'F1097'

Alcohol use, unsp with alcohol-induced persisting dementia

'F10980'

Alcohol use, unsp with alcohol-induced anxiety disorder

'F10981'

Alcohol use, unsp with alcohol-induced sexual dysfunction

'F10982'

Alcohol use, unspecified with alcohol-induced sleep disorder

'F10988'

Alcohol use, unspecified with other alcohol-induced disorder

'F1099'

Alcohol use, unsp with unspecified alcohol-induced disorder

'G621'

Alcoholic polyneuropathy

'I426'

Alcoholic cardiomyopathy

'K2920'

Alcoholic gastritis without bleeding

'K2921'

Alcoholic gastritis with bleeding

'K700'

Alcoholic fatty liver

'K7010'

Alcoholic hepatitis without ascites

'K7011'

Alcoholic hepatitis with ascites

'K702'

Alcoholic fibrosis and sclerosis of liver

'K7030'

Alcoholic cirrhosis of liver without ascites

'K7031'

Alcoholic cirrhosis of liver with ascites

'K7040'

Alcoholic hepatic failure without coma

'K709'

Alcoholic liver disease, unspecified

'O99310'

Alcohol use complicating pregnancy, unspecified trimester

'O99311'

Alcohol use complicating pregnancy, first trimester

'O99312'

Alcohol use complicating pregnancy, second trimester

'O99313'

Alcohol use complicating pregnancy, third trimester

'O99314'

Alcohol use complicating childbirth

'O99315'

Alcohol use complicating the puerperium

'P043'

Newborn affected by maternal use of alcohol

'Q860'

Fetal alcohol syndrome (dysmorphic)

'F1210'

Cannabis abuse, uncomplicated

'F12120'

Cannabis abuse with intoxication, uncomplicated

'F12121'

Cannabis abuse with intoxication delirium

'F12122'

Cannabis abuse with intoxication with perceptual disturbance

'F12129'

Cannabis abuse with intoxication, unspecified

'F12150'

Cannabis abuse with psychotic disorder with delusions

'F12151'

Cannabis abuse with psychotic disorder with hallucinations

'F12159'

Cannabis abuse with psychotic disorder, unspecified

'F12180'

Cannabis abuse with cannabis-induced anxiety disorder

'F12188'

Cannabis abuse with other cannabis-induced disorder

'F1219'

Cannabis abuse with unspecified cannabis-induced disorder

'F1220'

Cannabis dependence, uncomplicated

'F12220'

Cannabis dependence with intoxication, uncomplicated

'F12221'

Cannabis dependence with intoxication delirium

'F12222'

Cannabis dependence w intoxication w perceptual disturbance

'F12229'

Cannabis dependence with intoxication, unspecified

'F12250'

Cannabis dependence with psychotic disorder with delusions

'F12251'

Cannabis dependence w psychotic disorder with hallucinations

'F12259'

Cannabis dependence with psychotic disorder, unspecified

'F12280'

Cannabis dependence with cannabis-induced anxiety disorder

'F12288'

Cannabis dependence with other cannabis-induced disorder

'F1229'

Cannabis dependence with unsp cannabis-induced disorder

'F1290'

Cannabis use, unspecified, uncomplicated

'F12920'

Cannabis use, unspecified with intoxication, uncomplicated

'F12921'

Cannabis use, unspecified with intoxication delirium

'F12922'

Cannabis use, unsp w intoxication w perceptual disturbance

'F12929'

Cannabis use, unspecified with intoxication, unspecified

'F12950'

Cannabis use, unsp with psychotic disorder with delusions

'F12951'

Cannabis use, unsp w psychotic disorder with hallucinations

'F12959'

Cannabis use, unsp with psychotic disorder, unspecified

'F12980'

Cannabis use, unspecified with anxiety disorder

'F12988'

Cannabis use, unsp with other cannabis-induced disorder

'F1299'

Cannabis use, unsp with unsp cannabis-induced disorder

'T407X1A'

Poisoning by cannabis (derivatives), accidental, init

'T407X3A'

Poisoning by cannabis (derivatives), assault, init encntr

'T407X4A'

Poisoning by cannabis (derivatives), undetermined, init

'T407X5A'

Adverse effect of cannabis (derivatives), initial encounter

'F1610'

Hallucinogen abuse, uncomplicated

'F16120'

Hallucinogen abuse with intoxication, uncomplicated

'F16121'

Hallucinogen abuse with intoxication with delirium

'F16122'

Hallucinogen abuse w intoxication w perceptual disturbance

'F16129'

Hallucinogen abuse with intoxication, unspecified

'F1614'

Hallucinogen abuse with hallucinogen-induced mood disorder

'F16150'

Hallucinogen abuse w psychotic disorder w delusions

'F16151'

Hallucinogen abuse w psychotic disorder w hallucinations

'F16159'

Hallucinogen abuse w psychotic disorder, unsp

'F16180'

Hallucinogen abuse w hallucinogen-induced anxiety disorder

'F16183'

Hallucign abuse w hallucign persisting perception disorder

'F16188'

Hallucinogen abuse with other hallucinogen-induced disorder

'F1619'

Hallucinogen abuse with unsp hallucinogen-induced disorder

'F1620'

Hallucinogen dependence, uncomplicated

'F16220'

Hallucinogen dependence with intoxication, uncomplicated

'F16221'

Hallucinogen dependence with intoxication with delirium

'F16229'

Hallucinogen dependence with intoxication, unspecified

'F1624'

Hallucinogen dependence w hallucinogen-induced mood disorder

'F16250'

Hallucinogen dependence w psychotic disorder w delusions

'F16251'

Hallucinogen dependence w psychotic disorder w hallucin

'F16259'

Hallucinogen dependence w psychotic disorder, unsp

'F16280'

Hallucinogen dependence w anxiety disorder

'F16283'

Hallucign depend w hallucign persisting perception disorder

'F16288'

Hallucinogen dependence w oth hallucinogen-induced disorder

'F1629'

Hallucinogen dependence w unsp hallucinogen-induced disorder

'F1690'

Hallucinogen use, unspecified, uncomplicated

'F16920'

Hallucinogen use, unsp with intoxication, uncomplicated

'F16921'

Hallucinogen use, unsp with intoxication with delirium

'F16929'

Hallucinogen use, unspecified with intoxication, unspecified

'F1694'

Hallucinogen use, unsp w hallucinogen-induced mood disorder

'F16950'

Hallucinogen use, unsp w psychotic disorder w delusions

'F16951'

Hallucinogen use, unsp w psychotic disorder w hallucinations

'F16959'

Hallucinogen use, unsp w psychotic disorder, unsp

'F16980'

Hallucinogen use, unsp w anxiety disorder

'F16983'

Hallucign use, unsp w hallucign persist perception disorder

'F16988'

Hallucinogen use, unsp w oth hallucinogen-induced disorder

'F1699'

Hallucinogen use, unsp w unsp hallucinogen-induced disorder

'T408X1A'

Poisoning by lysergide, accidental (unintentional), init

'T408X3A'

Poisoning by lysergide [LSD], assault, initial encounter

'T408X4A'

Poisoning by lysergide, undetermined, initial encounter

'T408X5A'

Adverse effect of lysergide [LSD] initial encounter

'T40901A'

Poisoning by unsp psychodyslept, accidental, init

'T40903A'

Poisoning by unsp psychodysleptics, assault, init encntr

'T40904A'

Poisoning by unsp psychodysleptics, undetermined, init

'T40905A'

Adverse effect of unspecified psychodysleptics, init encntr

'T40991A'

Poisoning by oth psychodyslept, accidental, init

'T40993A'

Poisoning by other psychodysleptics, assault, init encntr

'T40994A'

Poisoning by oth psychodysleptics, undetermined, init encntr

'T40995A'

Adverse effect of other psychodysleptics, initial encounter

'F1810'

Inhalant abuse, uncomplicated

'F18120'

Inhalant abuse with intoxication, uncomplicated

'F18121'

Inhalant abuse with intoxication delirium

'F18129'

Inhalant abuse with intoxication, unspecified

'F1814'

Inhalant abuse with inhalant-induced mood disorder

'F18150'

Inhalant abuse w inhalnt-induce psych disorder w delusions

'F18151'

Inhalant abuse w inhalnt-induce psych disorder w hallucin

'F18159'

Inhalant abuse w inhalant-induced psychotic disorder, unsp

'F1817'

Inhalant abuse with inhalant-induced dementia

'F18180'

Inhalant abuse with inhalant-induced anxiety disorder

'F18188'

Inhalant abuse with other inhalant-induced disorder

'F1819'

Inhalant abuse with unspecified inhalant-induced disorder

'F1820'

Inhalant dependence, uncomplicated

'F18220'

Inhalant dependence with intoxication, uncomplicated

'F18221'

Inhalant dependence with intoxication delirium

'F18229'

Inhalant dependence with intoxication, unspecified

'F1824'

Inhalant dependence with inhalant-induced mood disorder

'F18250'

Inhalant depend w inhalnt-induce psych disorder w delusions

'F18251'

Inhalant depend w inhalnt-induce psych disorder w hallucin

'F18259'

Inhalant depend w inhalnt-induce psychotic disorder, unsp

'F1827'

Inhalant dependence with inhalant-induced dementia

'F18280'

Inhalant dependence with inhalant-induced anxiety disorder

'F18288'

Inhalant dependence with other inhalant-induced disorder

'F1829'

Inhalant dependence with unsp inhalant-induced disorder

'F1890'

Inhalant use, unspecified, uncomplicated

'F18920'

Inhalant use, unspecified with intoxication, uncomplicated

'F18921'

Inhalant use, unspecified with intoxication with delirium

'F18929'

Inhalant use, unspecified with intoxication, unspecified

'F1894'

Inhalant use, unsp with inhalant-induced mood disorder

'F18950'

Inhalant use, unsp w inhalnt-induce psych disord w delusions

'F18951'

Inhalant use, unsp w inhalnt-induce psych disord w hallucin

'F18959'

Inhalant use, unsp w inhalnt-induce psychotic disorder, unsp

'F1897'

Inhalant use, unsp with inhalant-induced persisting dementia

'F18980'

Inhalant use, unsp with inhalant-induced anxiety disorder

'F18988'

Inhalant use, unsp with other inhalant-induced disorder

'F1899'

Inhalant use, unsp with unsp inhalant-induced disorder

'F1110'

Opioid abuse, uncomplicated

'F11120'

Opioid abuse with intoxication, uncomplicated

'F11121'

Opioid abuse with intoxication delirium

'F11122'

Opioid abuse with intoxication with perceptual disturbance

'F11129'

Opioid abuse with intoxication, unspecified

'F1114'

Opioid abuse with opioid-induced mood disorder

'F11150'

Opioid abuse w opioid-induced psychotic disorder w delusions

'F11151'

Opioid abuse w opioid-induced psychotic disorder w hallucin

'F11159'

Opioid abuse with opioid-induced psychotic disorder, unsp

'F11181'

Opioid abuse with opioid-induced sexual dysfunction

'F11182'

Opioid abuse with opioid-induced sleep disorder

'F11188'

Opioid abuse with other opioid-induced disorder

'F1119'

Opioid abuse with unspecified opioid-induced disorder

'F1120'

Opioid dependence, uncomplicated

'F11220'

Opioid dependence with intoxication, uncomplicated

'F11221'

Opioid dependence with intoxication delirium

'F11222'

Opioid dependence w intoxication with perceptual disturbance

'F11229'

Opioid dependence with intoxication, unspecified

'F1123'

Opioid dependence with withdrawal

'F1124'

Opioid dependence with opioid-induced mood disorder

'F11250'

Opioid depend w opioid-induc psychotic disorder w delusions

'F11251'

Opioid depend w opioid-induc psychotic disorder w hallucin

'F11259'

Opioid dependence w opioid-induced psychotic disorder, unsp

'F11281'

Opioid dependence with opioid-induced sexual dysfunction

'F11282'

Opioid dependence with opioid-induced sleep disorder

'F11288'

Opioid dependence with other opioid-induced disorder

'F1129'

Opioid dependence with unspecified opioid-induced disorder

'F1190'

Opioid use, unspecified, uncomplicated

'F11920'

Opioid use, unspecified with intoxication, uncomplicated

'F11921'

Opioid use, unspecified with intoxication delirium

'F11922'

Opioid use, unsp w intoxication with perceptual disturbance

'F11929'

Opioid use, unspecified with intoxication, unspecified

'F1193'

Opioid use, unspecified with withdrawal

'F1194'

Opioid use, unspecified with opioid-induced mood disorder

'F11950'

Opioid use, unsp w opioid-induc psych disorder w delusions

'F11951'

Opioid use, unsp w opioid-induc psych disorder w hallucin

'F11959'

Opioid use, unsp w opioid-induced psychotic disorder, unsp

'F11981'

Opioid use, unsp with opioid-induced sexual dysfunction

'F11982'

Opioid use, unspecified with opioid-induced sleep disorder

'F11988'

Opioid use, unspecified with other opioid-induced disorder

'F1199'

Opioid use, unsp with unspecified opioid-induced disorder

'P961'

Neonatal w/drawal symp from matern use of drugs of addiction

'T400X1A'

Poisoning by opium, accidental (unintentional), init encntr

'T400X2A'

Poisoning by opium, intentional self-harm, initial encounter

'T400X3A'

Poisoning by opium, assault, initial encounter

'T400X4A'

Poisoning by opium, undetermined, initial encounter

'T400X5A'

Adverse effect of opium, initial encounter

'T401X1A'

Poisoning by heroin, accidental (unintentional), init encntr

'T401X2A'

Poisoning by heroin, intentional self-harm, init encntr

'T401X3A'

Poisoning by heroin, assault, initial encounter

'T401X4A'

Poisoning by heroin, undetermined, initial encounter

'T401X5A'

Adverse effect of heroin initial encounter

'T402X2A'

Poisoning by oth opioids, intentional self-harm, init encntr

'T403X2A'

Poisoning by methadone, intentional self-harm, init encntr

'T404X2A'

Poisoning by oth synthetic narcotics, self-harm, init

'T40602A'

Poisoning by unsp narcotics, intentional self-harm, init

'T40692A'

Poisoning by oth narcotics, intentional self-harm, init

'F1910'

Other psychoactive substance abuse, uncomplicated

'F19120'

Oth psychoactive substance abuse w intoxication, uncomp

'F19121'

Oth psychoactive substance abuse with intoxication delirium

'F19122'

Oth psychoactv substance abuse w intox w perceptual disturb

'F19129'

Other psychoactive substance abuse with intoxication, unsp

'F1914'

Oth psychoactive substance abuse w mood disorder

'F19150'

Oth psychoactv substance abuse w psych disorder w delusions

'F19151'

Oth psychoactv substance abuse w psych disorder w hallucin

'F19159'

Oth psychoactive substance abuse w psychotic disorder, unsp

'F1916'

Oth psychoactv substance abuse w persist amnestic disorder

'F1917'

Oth psychoactive substance abuse w persisting dementia

'F19180'

Oth psychoactive substance abuse w anxiety disorder

'F19181'

Oth psychoactive substance abuse w sexual dysfunction

'F19182'

Oth psychoactive substance abuse w sleep disorder

'F19188'

Oth psychoactive substance abuse w oth disorder

'F1919'

Oth psychoactive substance abuse w unsp disorder

'F1920'

Other psychoactive substance dependence, uncomplicated

'F19220'

Oth psychoactive substance dependence w intoxication, uncomp

'F19221'

Oth psychoactive substance dependence w intox delirium

'F19222'

Oth psychoactv substance depend w intox w perceptual disturb

'F19229'

Oth psychoactive substance dependence w intoxication, unsp

'F19230'

Oth psychoactive substance dependence w withdrawal, uncomp

'F19231'

Oth psychoactive substance dependence w withdrawal delirium

'F19232'

Oth psychoactv sub depend w w/drawal w perceptl disturb

'F19239'

Oth psychoactive substance dependence with withdrawal, unsp

'F1924'

Oth psychoactive substance dependence w mood disorder

'F19250'

Oth psychoactv substance depend w psych disorder w delusions

'F19251'

Oth psychoactv substance depend w psych disorder w hallucin

'F19259'

Oth psychoactv substance depend w psychotic disorder, unsp

'F1926'

Oth psychoactv substance depend w persist amnestic disorder

'F1927'

Oth psychoactive substance dependence w persisting dementia

'F19280'

Oth psychoactive substance dependence w anxiety disorder

'F19281'

Oth psychoactive substance dependence w sexual dysfunction

'F19282'

Oth psychoactive substance dependence w sleep disorder

'F19288'

Oth psychoactive substance dependence w oth disorder

'F1929'

Oth psychoactive substance dependence w unsp disorder

'F1990'

Other psychoactive substance use, unspecified, uncomplicated

'F19920'

Oth psychoactive substance use, unsp w intoxication, uncomp

'F19921'

Oth psychoactive substance use, unsp w intox w delirium

'F19922'

Oth psychoactv sub use, unsp w intox w perceptl disturb

'F19929'

Oth psychoactive substance use, unsp with intoxication, unsp

'F19930'

Oth psychoactive substance use, unsp w withdrawal, uncomp

'F19931'

Oth psychoactive substance use, unsp w withdrawal delirium

'F19932'

Oth psychoactv sub use, unsp w w/drawal w perceptl disturb

'F19939'

Other psychoactive substance use, unsp with withdrawal, unsp

'F1994'

Oth psychoactive substance use, unsp w mood disorder

'F19950'

Oth psychoactv sub use, unsp w psych disorder w delusions

'F19951'

Oth psychoactv sub use, unsp w psych disorder w hallucin

'F19959'

Oth psychoactv substance use, unsp w psych disorder, unsp

'F1996'

Oth psychoactv sub use, unsp w persist amnestic disorder

'F1997'

Oth psychoactive substance use, unsp w persisting dementia

'F19980'

Oth psychoactive substance use, unsp w anxiety disorder

'F19981'

Oth psychoactive substance use, unsp w sexual dysfunction

'F19982'

Oth psychoactive substance use, unsp w sleep disorder

'F19988'

Oth psychoactive substance use, unsp w oth disorder

'F1999'

Oth psychoactive substance use, unsp w unsp disorder

'F550'

Abuse of antacids

'F551'

Abuse of herbal or folk remedies

'F552'

Abuse of laxatives

'F553'

Abuse of steroids or hormones

'F554'

Abuse of vitamins

'F558'

Abuse of other non-psychoactive substances

'F630'

Pathological gambling

'O355XX0'

Maternal care for (suspected) damage to fetus by drugs, unsp

'O355XX1'

Maternal care for damage to fetus by drugs, fetus 1

'O355XX2'

Maternal care for damage to fetus by drugs, fetus 2

'O355XX3'

Maternal care for damage to fetus by drugs, fetus 3

'O355XX4'

Maternal care for damage to fetus by drugs, fetus 4

'O355XX5'

Maternal care for damage to fetus by drugs, fetus 5

'O355XX9'

Maternal care for (suspected) damage to fetus by drugs, oth

'O99320'

Drug use complicating pregnancy, unspecified trimester

'O99321'

Drug use complicating pregnancy, first trimester

'O99322'

Drug use complicating pregnancy, second trimester

'O99323'

Drug use complicating pregnancy, third trimester

'O99324'

Drug use complicating childbirth

'O99325'

Drug use complicating the puerperium

'P0449'

Newborn affected by maternal use of other drugs of addiction

'P962'

Withdrawal symptoms from therapeutic use of drugs in newborn

'F1310'

Sedative, hypnotic or anxiolytic abuse, uncomplicated

'F13120'

Sedatv/hyp/anxiolytc abuse w intoxication, uncomplicated

'F13121'

Sedatv/hyp/anxiolytc abuse w intoxication delirium

'F13129'

Sedative, hypnotic or anxiolytic abuse w intoxication, unsp

'F1314'

Sedative, hypnotic or anxiolytic abuse w mood disorder

'F13150'

Sedatv/hyp/anxiolytc abuse w psychotic disorder w delusions

'F13151'

Sedatv/hyp/anxiolytc abuse w psychotic disorder w hallucin

'F13159'

Sedatv/hyp/anxiolytc abuse w psychotic disorder, unsp

'F13180'

Sedative, hypnotic or anxiolytic abuse w anxiety disorder

'F13181'

Sedative, hypnotic or anxiolytic abuse w sexual dysfunction

'F13182'

Sedative, hypnotic or anxiolytic abuse w sleep disorder

'F13188'

Sedative, hypnotic or anxiolytic abuse w oth disorder

'F1319'

Sedative, hypnotic or anxiolytic abuse w unsp disorder

'F1320'

Sedative, hypnotic or anxiolytic dependence, uncomplicated

'F13220'

Sedatv/hyp/anxiolytc dependence w intoxication, uncomp

'F13221'

Sedatv/hyp/anxiolytc dependence w intoxication delirium

'F13229'

Sedatv/hyp/anxiolytc dependence w intoxication, unsp

'F13230'

Sedatv/hyp/anxiolytc dependence w withdrawal, uncomplicated

'F13231'

Sedatv/hyp/anxiolytc dependence w withdrawal delirium

'F13232'

Sedatv/hyp/anxiolytc depend w w/drawal w perceptual disturb

'F13239'

Sedatv/hyp/anxiolytc dependence w withdrawal, unsp

'F1324'

Sedative, hypnotic or anxiolytic dependence w mood disorder

'F13250'

Sedatv/hyp/anxiolytc depend w psychotic disorder w delusions

'F13251'

Sedatv/hyp/anxiolytc depend w psychotic disorder w hallucin

'F13259'

Sedatv/hyp/anxiolytc dependence w psychotic disorder, unsp

'F1326'

Sedatv/hyp/anxiolytc depend w persisting amnestic disorder

'F1327'

Sedatv/hyp/anxiolytc dependence w persisting dementia

'F13280'

Sedatv/hyp/anxiolytc dependence w anxiety disorder

'F13281'

Sedatv/hyp/anxiolytc dependence w sexual dysfunction

'F13282'

Sedative, hypnotic or anxiolytic dependence w sleep disorder

'F13288'

Sedative, hypnotic or anxiolytic dependence w oth disorder

'F1329'

Sedative, hypnotic or anxiolytic dependence w unsp disorder

'F1390'

Sedative, hypnotic, or anxiolytic use, unsp, uncomplicated

'F13920'

Sedatv/hyp/anxiolytc use, unsp w intoxication, uncomplicated

'F13921'

Sedatv/hyp/anxiolytc use, unsp w intoxication delirium

'F13929'

Sedatv/hyp/anxiolytc use, unsp w intoxication, unsp

'F13930'

Sedatv/hyp/anxiolytc use, unsp w withdrawal, uncomplicated

'F13931'

Sedatv/hyp/anxiolytc use, unsp w withdrawal delirium

'F13932'

Sedatv/hyp/anxiolytc use, unsp w w/drawal w perceptl disturb

'F13939'

Sedatv/hyp/anxiolytc use, unsp w withdrawal, unsp

'F1394'

Sedative, hypnotic or anxiolytic use, unsp w mood disorder

'F13950'

Sedatv/hyp/anxiolytc use, unsp w psych disorder w delusions

'F13951'

Sedatv/hyp/anxiolytc use, unsp w psych disorder w hallucin

'F13959'

Sedatv/hyp/anxiolytc use, unsp w psychotic disorder, unsp

'F1396'

Sedatv/hyp/anxiolytc use, unsp w persist amnestic disorder

'F1397'

Sedatv/hyp/anxiolytc use, unsp w persisting dementia

'F13980'

Sedatv/hyp/anxiolytc use, unsp w anxiety disorder

'F13981'

Sedatv/hyp/anxiolytc use, unsp w sexual dysfunction

'F13982'

Sedative, hypnotic or anxiolytic use, unsp w sleep disorder

'F13988'

Sedative, hypnotic or anxiolytic use, unsp w oth disorder

'F1399'

Sedative, hypnotic or anxiolytic use, unsp w unsp disorder

'F1410'

Cocaine abuse, uncomplicated

'F14120'

Cocaine abuse with intoxication, uncomplicated

'F14121'

Cocaine abuse with intoxication with delirium

'F14122'

Cocaine abuse with intoxication with perceptual disturbance

'F14129'

Cocaine abuse with intoxication, unspecified

'F1414'

Cocaine abuse with cocaine-induced mood disorder

'F14150'

Cocaine abuse w cocaine-induc psychotic disorder w delusions

'F14151'

Cocaine abuse w cocaine-induc psychotic disorder w hallucin

'F14159'

Cocaine abuse with cocaine-induced psychotic disorder, unsp

'F14180'

Cocaine abuse with cocaine-induced anxiety disorder

'F14181'

Cocaine abuse with cocaine-induced sexual dysfunction

'F14182'

Cocaine abuse with cocaine-induced sleep disorder

'F14188'

Cocaine abuse with other cocaine-induced disorder

'F1419'

Cocaine abuse with unspecified cocaine-induced disorder

'F1420'

Cocaine dependence, uncomplicated

'F14220'

Cocaine dependence with intoxication, uncomplicated

'F14221'

Cocaine dependence with intoxication delirium

'F14222'

Cocaine dependence w intoxication w perceptual disturbance

'F14229'

Cocaine dependence with intoxication, unspecified

'F1423'

Cocaine dependence with withdrawal

'F1424'

Cocaine dependence with cocaine-induced mood disorder

'F14250'

Cocaine depend w cocaine-induc psych disorder w delusions

'F14251'

Cocaine depend w cocaine-induc psychotic disorder w hallucin

'F14259'

Cocaine dependence w cocaine-induc psychotic disorder, unsp

'F14280'

Cocaine dependence with cocaine-induced anxiety disorder

'F14281'

Cocaine dependence with cocaine-induced sexual dysfunction

'F14282'

Cocaine dependence with cocaine-induced sleep disorder

'F14288'

Cocaine dependence with other cocaine-induced disorder

'F1429'

Cocaine dependence with unspecified cocaine-induced disorder

'F1490'

Cocaine use, unspecified, uncomplicated

'F14920'

Cocaine use, unspecified with intoxication, uncomplicated

'F14921'

Cocaine use, unspecified with intoxication delirium

'F14922'

Cocaine use, unsp w intoxication with perceptual disturbance

'F14929'

Cocaine use, unspecified with intoxication, unspecified

'F1494'

Cocaine use, unspecified with cocaine-induced mood disorder

'F14950'

Cocaine use, unsp w cocaine-induc psych disorder w delusions

'F14951'

Cocaine use, unsp w cocaine-induc psych disorder w hallucin

'F14959'

Cocaine use, unsp w cocaine-induced psychotic disorder, unsp

'F14980'

Cocaine use, unsp with cocaine-induced anxiety disorder

'F14981'

Cocaine use, unsp with cocaine-induced sexual dysfunction

'F14982'

Cocaine use, unspecified with cocaine-induced sleep disorder

'F14988'

Cocaine use, unspecified with other cocaine-induced disorder

'F1499'

Cocaine use, unsp with unspecified cocaine-induced disorder

'F1510'

Other stimulant abuse, uncomplicated

'F15120'

Other stimulant abuse with intoxication, uncomplicated

'F15121'

Other stimulant abuse with intoxication delirium

'F15122'

Oth stimulant abuse w intoxication w perceptual disturbance

'F15129'

Other stimulant abuse with intoxication, unspecified

'F1514'

Other stimulant abuse with stimulant-induced mood disorder

'F15150'

Oth stimulant abuse w stim-induce psych disorder w delusions

'F15151'

Oth stimulant abuse w stim-induce psych disorder w hallucin

'F15159'

Oth stimulant abuse w stim-induce psychotic disorder, unsp

'F15180'

Oth stimulant abuse with stimulant-induced anxiety disorder

'F15181'

Oth stimulant abuse w stimulant-induced sexual dysfunction

'F15182'

Other stimulant abuse with stimulant-induced sleep disorder

'F15188'

Other stimulant abuse with other stimulant-induced disorder

'F1519'

Other stimulant abuse with unsp stimulant-induced disorder

'F1520'

Other stimulant dependence, uncomplicated

'F15220'

Other stimulant dependence with intoxication, uncomplicated

'F15221'

Other stimulant dependence with intoxication delirium

'F15222'

Oth stimulant dependence w intox w perceptual disturbance

'F15229'

Other stimulant dependence with intoxication, unspecified

'F1523'

Other stimulant dependence with withdrawal

'F1524'

Oth stimulant dependence w stimulant-induced mood disorder

'F15250'

Oth stim depend w stim-induce psych disorder w delusions

'F15251'

Oth stimulant depend w stim-induce psych disorder w hallucin

'F15259'

Oth stimulant depend w stim-induce psychotic disorder, unsp

'F15280'

Oth stimulant dependence w stim-induce anxiety disorder

'F15281'

Oth stimulant dependence w stim-induce sexual dysfunction

'F15282'

Oth stimulant dependence w stimulant-induced sleep disorder

'F15288'

Oth stimulant dependence with oth stimulant-induced disorder

'F1529'

Oth stimulant dependence w unsp stimulant-induced disorder

'F1590'

Other stimulant use, unspecified, uncomplicated

'F15920'

Other stimulant use, unsp with intoxication, uncomplicated

'F15921'

Other stimulant use, unspecified with intoxication delirium

'F15922'

Oth stimulant use, unsp w intox w perceptual disturbance

'F15929'

Other stimulant use, unsp with intoxication, unspecified

'F1594'

Oth stimulant use, unsp with stimulant-induced mood disorder

'F15950'

Oth stim use, unsp w stim-induce psych disorder w delusions

'F15951'

Oth stim use, unsp w stim-induce psych disorder w hallucin

'F15959'

Oth stimulant use, unsp w stim-induce psych disorder, unsp

'F15980'

Oth stimulant use, unsp w stimulant-induced anxiety disorder

'F15981'

Oth stimulant use, unsp w stim-induce sexual dysfunction

'F15982'

Oth stimulant use, unsp w stimulant-induced sleep disorder

'F15988'

Oth stimulant use, unsp with oth stimulant-induced disorder

'F1599'

Oth stimulant use, unsp with unsp stimulant-induced disorder

'P0441'

Newborn affected by maternal use of cocaine

'T405X1A'

Poisoning by cocaine, accidental (unintentional), init

'T405X3A'

Poisoning by cocaine, assault, initial encounter

'T405X4A'

Poisoning by cocaine, undetermined, initial encounter

'T405X5A'

Adverse effect of cocaine, initial encounter


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_54, 50301024


Measure Title: Emergency department visits with a first-listed diagnosis related to co-occurring of mental health, alcohol and substance abuse, per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), median household income of the patient's ZIP Code, region of hospital


Data Source: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: U.S. resident population age 18 and over


Numerator: Emergency department visits in the U.S. with a first-listed diagnosis related to mental health disorders and a secondary diagnosis related to substance use, or a first-listed diagnosis related to substance use and a secondary diagnosis related to mental health disorders (see comments)


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System (ICD-10-CM/PCS). ICD-10-CM coding for mental health disorders listed under measure specification ID HCUP_52; ICD-10-CM coding for substance use listed under measure specification ID HCUP_53.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_55, 50301031


Measure Title: Emergency department visits with a principal diagnosis related to dental conditions per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), median household income of the patient's ZIP Code


Data Source: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: U.S. resident population, all ages


Numerator: Emergency department visits in the U.S. with a principal diagnosis related to dental conditions defined using ICD-10-CM diagnosis codes of K000, K001, K002, K003, K004, K005, K006, K007, K008, K009, K010, K011, K023, K0251, K0252, K0253, K0261, K0262, K0263, K027, K029, K030, K031, K032, K033, K034, K035, K036, K037, K0381, K0389, K039, K0401, K0402, K041, K042, K043, K044, K045, K046, K047, K048, K0490, K0499, K0500, K0501, K0510, K0511, K0520, K05211, K05212, K05213, K05219, K05221, K05222, K05223, K05229, K0530, K05311, K05312, K05313, K05319, K05321, K05322, K05323, K05329, K054, K055, K056, K06010, K06011, K06012, K06013, K06020, K06021, K06022, K06023, K061, K062, K063, K068, K069.


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_56, 50301042


Measure Title: Emergency department encounters for asthma, children ages 2-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), median household income of patient’s ZIP Code, region


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS), and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population ages 2 to 17


Numerator: Emergency department visits in the U.S. with a first-listed diagnosis of asthma


Comments: The AHRQ PDI software requires that asthma must be the first-listed diagnosis and the following cases are excluded: admissions with cystic fibrosis or anomalies of the respiratory system, and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_57, 150402021


Measure Title: Emergency department visits with a first-listed diagnosis related to mental health, alcohol, or substance abuse, per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), median household income of patient’s ZIP Code, region


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: U.S. resident population


Numerator: Emergency department visits in the U.S. with a first-listed diagnosis related to mental health disorders or substance use (see comments)


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System (ICD-10-CM/PCS). ICD-10-CM coding for mental health disorders listed under measure specification ID HCUP_52; ICD-10-CM coding for substance use listed under measure specification ID HCUP_53.


The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_58, 30301051


Measure Title: Accidental puncture or laceration during procedure per 1,000 medical and surgical admissions, children


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Hospital medical and surgical discharges among children age less than 18 years, excluding obstetric admissions


Numerator: Subset of the denominator with secondary diagnosis denoting accidental cut, puncture, perforation, or laceration during a procedure


Comments: The AHRQ PDI software requires that the accidental puncture or laceration be reported as a secondary diagnosis (rather than the principal diagnosis). Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_59, 50401072


Measure Title: Hospital admissions for asthma per 100,000 population, ages 2-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of adults ages 2 to 17


Numerator: Hospitalization of children ages 2-17 with a principal diagnosis code of asthma


Comments: The AHRQ PDI software requires asthma to be the principal diagnosis. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_60, 50601031


Measure Title: Hospital admissions for perforated appendix per 1,000 admissions with appendicitis, children


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Discharges ages 1-17 with principal or secondary diagnosis of appendicitis, excluding obstetric admissions and transfers from other institutions


Numerator: Subset of the denominator with principal or secondary diagnosis code for perforation or abscess of appendix


Comments: Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_61, 50801052


Measure Title: Admissions for urinary tract infection (UTI) per 100,000 population, ages 3 months to 17 years


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, region of the United States,


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of children ages 3 months to 17 years


Numerator: Hospital inpatient discharges with a principal diagnosis of UTI in the denominator.


Comments: The AHRQ PDI software require UTI to be the principal diagnosis. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_62, 50801061


Measure Title: Admissions for pediatric gastroenteritis per 100,000 population, ages 3 months to 17 years


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of children ages 3 months to 17 years


Numerator: Hospital inpatient discharges of children ages 3 months to 17 years with a principal diagnosis or a secondary diagnosis with a principal diagnosis of dehydration.


Comments: The AHRQ PDI software requires gastroenteritis to be the principal diagnosis or a secondary diagnosis with a principal diagnosis of dehydration. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_63, 150403041


Measure Title: Potentially avoidable hospitalizations for all conditions per 100,000 population, age 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of children ages 6 to 17 years


Numerator: Hospitalizations of children who qualified to be in the numerator for any of the following PDI measures:



Comments: This measure is based on the four AHRQ PDIs for asthma, diabetes, gastroenteritis, and urinary tract infection. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_64, 150403061


Measure Title: Potentially avoidable hospitalizations for acute conditions per 100,000 population, age 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, median household income of the patient's ZIP Code, urbanized location, region of the United States


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of children ages 6 to 17 years


Numerator: Hospitalizations of children who qualified to be in the numerator for any of the following PDI measures:



Comments: This measure is based on the two AHRQ PDIs for gastroenteritis and urinary tract infection. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: HCUP_65, 150403101


Measure Title: Potentially avoidable hospitalizations for chronic conditions per 100,000 population, age 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, race/ethnicity, expected primary payer, median household income of the patient's ZIP Code, urbanized location, region of the United States, bed size of hospital, teaching status of hospital


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population of children ages 6 to 17 years


Numerator: Hospitalizations of children who qualified to be in the numerator for any of the following PDI measures:



Comments: This measure is based on the 2 AHRQ PDIs for asthma and diabetes. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).



Measure ID: 60702111


Measure Title: Emergency department visits involving opioid-related diagnoses per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National, State


Years available: 2005-2016


Population subgroups: Age, sex, community-level income, location of patient residence


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


State: AHRQ, CDOM, HCUP, State Emergency Department Databases (SEDD)


Denominator: U.S. resident population


Numerator: Total number of emergency department visits which are related to the opioid use stemming from illicit opioids such as heroin, illegal use of prescription opioids, and the use of opioids as prescribed.


Comments:


This information was exported from HCUP Fast Stats, Opioid-Related Hospital Use (www.hcup-us.ahrq.gov/faststats/OpioidUseServlet). The following is from the Data Notes and Methods available on the HCUP Fast Stats Web page for Opioid-Related Hospital use. Emergency department (ED) visits including opioid-related hospital use are identified by any diagnosis (all-listed) in the following ranges of ICD-10-CM and ICD-9-CM codes:


ICD-10-CM Codes Starting October 1, 2015



There are some differences in the reporting of opioid-related inpatient stays and ED visits identified using ICD-10-CM codes. These differences are explored within the Case Study: Exploring How Opioid-Related Diagnosis Codes Translate from ICD-9-CM to ICD-10-CM, which is found under "Doing Analysis with ICD-10 Data" on the ICD-10-CM/PCS Resources page of HCUP-US.


ICD-9-CM Codes Prior to October 1, 2015



Excluded Codes


It should be noted that ICD-10-CM and ICD-9-CM diagnosis codes related to opioid dependence or abuse "in remission" are not used to identify opioid-related hospital use because remission does not indicate active use of opioids. Codes indicating neonatal abstinence syndrome (NAS) are also not included.





Measure ID: 60702101


Measure Title: Hospital inpatient stays involving opioid-related diagnoses per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National, State


Years available: 2005-2016


Population subgroups: Age, sex, community-level income, location of patient residence


Data Sources:


National: AHRQ, CDOM, HCUP, National Inpatient Sample (NIS)


State: AHRQ, CDOM, HCUP, State Inpatient Databases (SID)


Denominator: U.S. resident population


Numerator: Number of hospital discharges which are related to the opioid use stemming from illicit opioids such as heroin, illegal use of prescription opioids, and the use of opioids as prescribed.



Comments: This information was exported from HCUP Fast Stats, Opioid-Related Hospital Use (www.hcup-us.ahrq.gov/faststats/OpioidUseServlet). The following is from the Data Notes and Methods available on the HCUP Fast Stats Web page for Opioid-Related Hospital use. Inpatient stays including opioid-related hospital use are identified by any diagnosis (all-listed) in the following ranges of ICD-10-CM and ICD-9-CM codes:


ICD-10-CM Codes Starting October 1, 2015



There are some differences in the reporting of opioid-related inpatient stays and ED visits identified using ICD-10-CM codes. These differences are explored within the Case Study: Exploring How Opioid-Related Diagnosis Codes Translate from ICD-9-CM to ICD-10-CM, which is found under "Doing Analysis with ICD-10 Data" on the ICD-10-CM/PCS Resources page of HCUP-US.


ICD-9-CM Codes Prior to October 1, 2015



Excluded Codes


It should be noted that ICD-10-CM and ICD-9-CM diagnosis codes related to opioid dependence or abuse "in remission" are not used to identify opioid-related hospital use because remission does not indicate active use of opioids. Codes indicating neonatal abstinence syndrome (NAS) are also not included.




Measure ID: 150402011


Measure Title: Emergency department visit per 100,000 population


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: U.S. resident population


Numerator: Total number of emergency department visits


Comments: The HCUP Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and is the largest all-payer ED database that is publicly available in the United States. The NEDS is a 20-percent stratified sample of hospital-owned EDs in the United States. The NEDS is drawn from statewide data organizations that provide HCUP with data from ED visits that may or may not have resulted in hospital admission. Weights are provided to calculate national estimates.


For more information, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703011


Measure Title: Cost for hospitalizations for dehydration, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for dehydration, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703021


Measure Title: Cost for hospitalizations for urinary tract infection (UTI), adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for urinary tract infection, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703031


Measure Title: Cost for hospitalizations for urinary tract infection (UTI), children ages 3 months to 17 years


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for urinary tract infection, children ages 3 months to 17 years.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703041


Measure Title: Cost for hospitalizations for pediatric gastroenteritis, children ages 3 months to 17 years


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for pediatric gastroenteritis, children ages 3 months to 17 years.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703051


Measure Title: Cost for hospitalizations for hypertension, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for hypertension, adults age 18 and over.


Numerator: Not applicable.


Comments Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703071


Measure Title: Cost for hospitalizations for chronic obstructive pulmonary disease (COPD), adults age 40 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for chronic obstructive pulmonary disease (COPD), adults age 40 and over


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703081


Measure Title: Cost for hospitalizations for bacterial pneumonia, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for bacterial pneumonia, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).



Measure ID: 150703091


Measure Title: Cost for potentially avoidable hospital admissions for all conditions, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for potentially avoidable admissions for all conditions, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703111


Measure Title: Cost for potentially avoidable hospital admissions for all conditions, children ages 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for potentially avoidable admissions for all conditions, children ages 6-17.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703121


Measure Title: Cost for potentially avoidable hospital admissions for acute conditions, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for potentially avoidable hospital admissions for acute conditions, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703131


Measure Title: Cost for potentially avoidable hospital admissions for acute conditions, children ages 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for potentially avoidable admissions for acute conditions, children ages 6-17.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703141


Measure Title: Cost for potentially avoidable hospital admissions for chronic conditions, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for potentially avoidable admissions for chronic conditions, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703161


Measure Title: Cost for potentially avoidable hospital admissions for chronic conditions, children ages 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for potentially avoidable admissions for chronic conditions, children ages 6-17.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703181


Measure Title: Cost for hospitalizations for heart failure (HF), adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for heart failure (HF), adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703191


Measure Title: Cost for hospitalizations for uncontrolled diabetes without complications, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for uncontrolled diabetes without complications, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703201


Measure Title: Cost for hospitalizations for short-term complications of diabetes, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for short-term complications of diabetes, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703211


Measure Title: Cost for hospitalizations for short-term complications of diabetes, children ages 6-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for short-term complications of diabetes, children ages 6-17.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703221


Measure Title: Cost for hospitalizations for diabetes with long-term complications, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for diabetes with long-term complications, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703231


Measure Title: Cost for hospitalizations for lower-extremity amputation among patients with diabetes, adults age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for lower-extremity amputation among patients with diabetes, adults age 18 and over.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703081


Measure Title: Cost for hospitalizations for asthma, adults ages 18-39


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for asthma, adults ages 18-39.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150703251


Measure Title: Cost for hospitalizations for asthma, children ages 2-17


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Pediatric Quality Indicators (PDIs)


Table Descriptions:


Geographic representation: National


Years available: 2016


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: Not applicable. The table includes weighted number of discharges, total cost and average cost per discharge for asthma, children ages 2-17.


Numerator: Not applicable.


Comments: Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).


Measure ID: NEW


Measure Title: Potentially avoidable hospitalizations for diabetes per 100,000 population, c


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), income, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population, age 18 and over


Numerator: Number of hospitalizations who qualified for any individual PQI numerator related to diabetes (PQI 1, PQI 3, PQI 14, and PQI 16) (see Comments)


Comments: This measure is based on the four AHRQ PQIs for diabetes short-term complications, diabetes long-term complications, uncontrolled diabetes admissions, and lower-extremity amputation among patients with diabetes. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).


Measure ID: NEW


Measure Title: Cost for potentially avoidable hospitalizations for diabetes per 100,000 population, age 18 and over


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, geographic location (residence), income, region


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident population, age 18 and over


Numerator: Number of hospitalizations who qualified for any individual PQI numerator related to diabetes (PQI 1, PQI 3, PQI 14, and PQI 16) (see Comments)


Comments: This measure is based on the four AHRQ PQIs for diabetes short-term complications, diabetes long-term complications, uncontrolled diabetes admissions, and lower-extremity amputation among patients with diabetes.


Costs prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Total hospital charges were converted to costs using HCUP cost-to-charge ratios based on hospital accounting reports from the Centers for Medicare and Medicaid Services. For more information about the HCUP cost-to-charge ratios, visit the HCUP-US Web site (https://hcup-us.ahrq.gov/db/state/costtocharge.jsp).


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150502031


Measure Title: Hospital admissions for short-term complications of diabetes per 100,000 population diagnosed with diabetes, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident diabetic population, age 18 and over, estimated based on diabetes prevalence from the CDC National Diabetes Surveillance System


Numerator: Adult discharges age 18 and over with a principal diagnosis of diabetes with short-term complications.


Comments: Consistent with the AHRQ PQI software, diabetes must be the principal diagnosis and short-term complications include ketoacidosis, hyperosmolarity, and coma. Transfers from other institutions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150502041


Measure Title: Hospital admissions for long-term complications of diabetes per 100,000 population diagnosed with diabetes, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident diabetic population, age 18 and over, estimated based on diabetes prevalence from the CDC National Diabetes Surveillance System


Numerator: Hospitalization of adults age 18 and over with hospital inpatient discharges with a principal diagnosis code for diabetes with long-term complications.


Comments: Consistent with the AHRQ PQI software, diabetes must be the principal diagnosis and long-term complications include renal, eye, neurologic, circulatory, and other unspecified complications. Transfers from other institutions and obstetric admissions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150502051


Measure Title: Hospital admissions for lower-extremity amputations per 100,000 population diagnosed with diabetes, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident diabetic population, age 18 and over, estimated based on diabetes prevalence from the CDC National Diabetes Surveillance System


Numerator: Hospitalizations of adults with a procedure for lower-extremity amputation and a diagnosis of diabetes.


Comments: The AHRQ PQI software requires that a procedure code for lower-extremity amputation and a diagnosis of diabetes must be present. Exclusions include admissions for toe amputation or traumatic amputations of the lower extremity, obstetric discharges, and transfers from other institutions. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 150502061


Measure Title: Hospital admissions for uncontrolled diabetes without complications per 100,000 population diagnosed with diabetes, adults


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP), Prevention Quality Indicators (PQIs)


Table Description:


Geographic representation: National


Years available: 2016


Population subgroups: Age


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Databases (SID) weighted to provide national estimates, and AHRQ Quality Indicators, version 7.0.1


Denominator: U.S. resident diabetic population, age 18 and over, estimated based on diabetes prevalence from the CDC National Diabetes Surveillance System


Numerator: Hospital admissions of adults age 18 and over with discharges with a principal diagnosis of uncontrolled diabetes and without mention of short-term or long-term complications


Comments: Short-term complications include ketoacidosis, hyperosmolarity, and coma. Long-term complications include renal, eye, neurologic, circulatory, and other unspecified. Obstetric admissions and transfers from other institutions are excluded. Rates prior to 2016 are not reported because of the transition to the International Classification of Diseases, Tenth Edition, Clinical Modification/ Procedure Coding System. Observed (un-adjusted) rates are reported, as risk adjustment was unavailable in the AHRQ QI version 7.0.1 software.


The HCUP State Inpatient Databases (SID) include a powerful set of hospital databases from HCUP Partner organizations in 47 States and the District of Columbia. Together, the SID encompasses about 97 percent of all U.S. community hospital discharges. SID contains a core set of clinical and nonclinical information on all patients, regardless of payer, including people covered by Medicare, Medicaid, and private insurance, as well as uninsured people. In addition to the core set of uniform data elements common to all SID, some databases within SID include other elements, such as the patient's race.


For generating national QI estimates beginning in data year 2016, SID meeting the following inclusion criteria were combined to create a nationally weighted analysis file: (1) less than 10 percent of discharges failed edit checks on indicators of diagnoses being present on admission (POA); (2) the SID included information on day of principal and secondary procedure days; and (3) the SID included good reporting of race/ethnicity data. After hospitals and discharges that failed POA and race/ethnicity edits were excluded, the remaining discharges were weighted to the universe of community hospitals in the United States, excluding rehabilitation and long-term acute care facilities. In data year 2016, the nationally weighted analysis file includes data from 34 SID and over 30.2 million discharges.


For more information on the sampling approach and included States by data year, see the HCUP Methods Series Report on Methods Applying AHRQ Quality Indicators to HCUP Data (https://www.hcup-us.ahrq.gov/reports/methods/methods.jsp).




Measure ID: 30301091


Measure Title: In-hospital deaths per 100,000 delivery hospitalizations, women ages 12-55


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, community-level income, race location of patient residence, expected source of payment, location of patient treatment, and ownership/control, bedsize, teaching status, critical access, safety net, and minority serving of hospitals.


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Sample (SID)


Denominator: Total number of delivery hospitalizations, women ages 12-55. Delivery includes any delivery diagnosis, procedure, or DRG and not abortion - Codes from QTA-2019-03.


Numerator: A subset of the denominator where patients died in the hospital.


Comments:


Delivery codes include:


Any DX of Z37X: Z370, Z371, Z372, Z373, Z374, Z3750, Z3751, Z3752, Z3753, Z3754, Z3759, Z3760, Z3761, Z3762, Z3763, Z3764, Z3769, Z377, Z379.


Any DX of O80 (vaginal delivery)


Any DX of O82 (encounter for cesarean delivery without indication)


Any Delivery DRG - 765-768 or 774-775


Any procedure codes 10D00Z0-10D00Z2, 10D07Z3-0D07Z8, 10E0XZZ.


Abortion codes include:


Any DX of 'O00', 'O01', 'O02', 'O03', 'O04', 'O07', 'O08' (including all subcodes)


Any PR of '10A00ZZ', '10A03ZZ', '10A04ZZ', '10A07Z6', '10A07ZW', '10A07ZX', '10A07ZZ', '10A08ZZ'




Measure ID: 30501041


Measure Title: Venous thromboembolism or pulmonary embolism per 1,000 delivery discharges, women ages 12-55


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, community-level income, race location of patient residence, expected source of payment, location of patient treatment, and ownership/control, bedsize, teaching status, critical access, safety net, and minority serving of hospitals.


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Sample (SID)


Denominator: Total number of delivery hospitalizations, women ages 12-55. Delivery includes any delivery diagnosis, procedure, or DRG and not abortion - Codes from QTA-2019-03.


Numerator: A subset of the denominator where patients were diagnosed with any Venous thromboembolism or pulmonary embolism.


Comments:


Delivery codes include:


Any DX of Z37X: Z370, Z371, Z372, Z373, Z374, Z3750, Z3751, Z3752, Z3753, Z3754, Z3759, Z3760, Z3761, Z3762, Z3763, Z3764, Z3769, Z377, Z379.


Any DX of O80 (vaginal delivery)


Any DX of O82 (encounter for cesarean delivery without indication)


Any Delivery DRG - 765-768 or 774-775


Any procedure codes 10D00Z0-10D00Z2, 10D07Z3-0D07Z8, 10E0XZZ.


Abortion codes include:


Any DX of 'O00', 'O01', 'O02', 'O03', 'O04', 'O07', 'O08' (including all subcodes).


Any PR of '10A00ZZ', '10A03ZZ', '10A04ZZ', '10A07Z6', '10A07ZW', '10A07ZX', '10A07ZZ', '10A08ZZ'.




Measure ID: 150504051


Measure Title: Patients aged 65 and over with an emergency department (ED) visit and with a dementia diagnosis who were not hospitalized


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, community-level income, location of patient residence, expected source of payment, location of patient treatment, ownership/control of hospital, and teaching status of hospital.


Data Sources: AHRQ, CDOM, HCUP, Nationwide Emergency Department Sample (NEDS)


Denominator: Total number of emergency department visits with any diagnosis of dementia, adults age 65 and over, excluding transfers.


Numerator: A subset of the denominator where the patients were discharged from the ED without a hospital admission.


Comments:


Dementia was defined using ICD-10-CM codes below:



F00 Dementia in Alzheimer disease


F00.0* Dementia in Alzheimer disease with early onset


F00.1* Dementia in Alzheimer disease with late onset


F00.2* Dementia in Alzheimer disease, atypical or mixed type


F00.9* Dementia in Alzheimer disease, unspecified


F01 Vascular dementia


F01.0 Vascular dementia of acute onset


F01.1 Multi-infarct dementia


F01.2 Subcortical vascular dementia


F01.3 Mixed cortical and subcortical vascular dementia


F01.8 Other vascular dementia


F01.9 Vascular dementia, unspecified


F02 Dementia in other diseases classified elsewhere


F02.0* Dementia in Pick disease


F02.1* Dementia in Creutzfeldt-Jakob disease


F02.2* Dementia in Huntington disease


F02.3* Dementia in Parkinson disease


F02.4* Dementia in human immunodeficiency virus [HIV] disease


F02.8* Dementia in other specified diseases classified elsewhere


F03 Unspecified dementia



F05 Delirium, not induced by alcohol and other psychoactive substances


F05.1 Delirium superimposed on dementia


G30 Alzheimer's disease


G30.0 Alzheimer disease with early onset


G30.1 Alzheimer disease with late onset


G30.8 Other Alzheimer disease


G30.9 Alzheimer disease, unspecified




Measure ID: 150504061


Measure Title: Patients aged 65 and over with an emergency department (ED) visit and with a dementia diagnosis who were hospitalized following the ED visit


Measure Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets (CDOM), Healthcare Cost and Utilization Project (HCUP)


Table Descriptions:


Geographic representation: National


Years available: 2016


Population subgroups: Age, sex, community-level income, location of patient residence, expected source of payment, location of patient treatment, ownership/control of hospital, and teaching status of hospital.


Data Sources: AHRQ, CDOM, HCUP, State Inpatient Sample (SID)


Denominator: Total number of emergency department visits with a any diagnosis of dementia, adults age 65 and over, excluding transfers.


Numerator: A subset of the denominator where the patients were admitted to hospital following the ED visit.


Comments:


Dementia was defined using ICD-10-CM codes below:


F00 Dementia in Alzheimer disease


F00.0* Dementia in Alzheimer disease with early onset


F00.1* Dementia in Alzheimer disease with late onset


F00.2* Dementia in Alzheimer disease, atypical or mixed type


F00.9* Dementia in Alzheimer disease, unspecified


F01 Vascular dementia


F01.0 Vascular dementia of acute onset


F01.1 Multi-infarct dementia


F01.2 Subcortical vascular dementia


F01.3 Mixed cortical and subcortical vascular dementia


F01.8 Other vascular dementia


F01.9 Vascular dementia, unspecified


F02 Dementia in other diseases classified elsewhere


F02.0* Dementia in Pick disease


F02.1* Dementia in Creutzfeldt-Jakob disease


F02.2* Dementia in Huntington disease


F02.3* Dementia in Parkinson disease


F02.4* Dementia in human immunodeficiency virus [HIV] disease


F02.8* Dementia in other specified diseases classified elsewhere


F03 Unspecified dementia



F05 Delirium, not induced by alcohol and other psychoactive substances


F05.1 Delirium superimposed on dementia


G30 Alzheimer's disease


G30.0 Alzheimer disease with early onset


G30.1 Alzheimer disease with late onset


G30.8 Other Alzheimer disease


G30.9 Alzheimer disease, unspecified