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Table T2_2_3_3-2

2012 National Healthcare Quality and Disparities Reports

This appendix provides detailed data tables for all measures analyzed for the 2012 National Healthcare Quality and Disparities Reports. Tables are included for measures discussed in the main text of the reports as well as for other measures that were examined but not included in the main text.
Table 2_2_3_3.2
Deaths per 1,000 hospital admissions with congestive heart failure,a age 18 and over,b by race/ethnicity, United States, 2009
  TotalWhiteBlackAPIHispanic, all races
Population groupRateSERateSERateSERateSERateSE
65 and over30.
  85 and over41.50.443.10.429.51.337.42.836.01.8
Median income of patient's ZIP CodeFirst quartile (lowest income)24.70.329.00.316.20.517.62.821.71.0
Second quartile25.10.326.70.316.30.827.82.421.01.2
Third quartile23.80.325.00.316.
Fourth quartile (highest income)24.70.325.70.318.
Location of patient residenceLarge central metropolitan21.60.324.40.415.80.521.21.420.70.8
Large fringe metropolitan22.70.324.20.315.90.820.42.416.51.4
Medium metropolitan24.90.426.50.415.
Small metropolitan26.00.526.50.520.01.5DSUDSU30.22.6
Expected payment sourcePrivate insurance28.60.532.20.618.
Other insurance47.61.453.61.628.63.350.712.238.75.9
Uninsured/self-pay/no charge28.
Region of inpatient treatmentNortheast28.00.329.00.319.
Ownership/control of hospitalPrivate, not for profit23.
Private, for profit24.70.427.00.517.
Teaching status of hospitalTeaching22.70.325.00.316.40.624.
Location of hospitalLarge central metropolitan22.40.324.90.316.30.522.51.420.70.8
Large fringe metropolitan22.10.323.80.315.20.816.12.517.21.5
Medium metropolitan24.30.325.60.415.
Small metropolitan24.50.424.90.519.61.4DSUDSU31.02.5
Bed size of hospitalLess than 10036.60.438.10.524.61.839.23.722.02.4
500 or more22.70.325.20.416.40.724.

a Consistent with the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators (IQIs) software, congestive heart failure must be the principal diagnosis. Excludes obstetric admissions and transfers to another hospital.

b Rates are adjusted by age, gender, age-gender interactions, major diagnostic category (MDC), all patient refined-diagnosis related group (APR-DRG) risk of mortality score, and transfers into the hospital. When reporting is by age, the adjustment is by gender, MDC, APR-DRG risk of mortality score, and transfers into the hospital; when reporting is by gender, the adjustment is by age, MDC, APR-DRG risk of mortality score, and transfers into the hospital. The AHRQ IQI software was modified to not use the present on admission (POA) indicators (or estimates of the likelihood of POA for secondary diagnosis).

DSU - Data do not meet the criteria for statistical reliability, data quality, or confidentiality.

Key: API: Asian or Pacific Islander; SE: standard error.

Source: Agency for Healthcare Research and Quality (AHRQ), Center for Delivery, Organization, and Markets, Healthcare Cost and Utilization Project, State Inpatient Databases, disparities analysis file, and AHRQ Quality Indicators, modified version 4.1. The analysis file is designed to provide national estimates on disparities using weighted records from a sample of hospitals from the following 36 States: Arkansas, Arizona, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Iowa, Illinois, Kansas, Kentucky, Massachusetts, Maryland, Maine, Michigan, Missouri, New Hampshire, New Jersey, New Mexico, Nevada, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and Wyoming.

Page last reviewed June 2013
Internet Citation: Table T2_2_3_3-2: 2012 National Healthcare Quality and Disparities Reports. June 2013. Agency for Healthcare Research and Quality, Rockville, MD.


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