Impact of socioeconomic status measures on hospital profiling in New York City
- PMID: 24823956
- PMCID: PMC4072036
- DOI: 10.1161/CIRCOUTCOMES.113.000520
Impact of socioeconomic status measures on hospital profiling in New York City
Abstract
Background: Current 30-day readmission models used by the Center for Medicare and Medicaid Services for the purpose of hospital-level comparisons lack measures of socioeconomic status (SES). We examined whether the inclusion of an SES measure in 30-day congestive heart failure readmission models changed hospital risk-standardized readmission rates in New York City (NYC) hospitals.
Methods and results: Using a Centers for Medicare & Medicaid Services (CMS)-like model, we estimated 30-day hospital-level risk-standardized readmission rates by adjusting for age, sex, and comorbid conditions. Next, we examined how hospital risk-standardized readmission rates changed relative to the NYC mean with inclusion of the Agency for Healthcare Research and Quality (AHRQ)-validated SES index score. In a secondary analysis, we examined whether inclusion of the AHRQ SES index score in 30-day readmission models disproportionately impacted the risk-standardized readmission rates of minority-serving hospitals. Higher AHRQ SES scores, indicators of higher SES, were associated with lower odds (0.99) of 30-day readmission (P<0.019). The addition of the AHRQ SES index did not change the model's C statistic (0.63). After adjustment for the AHRQ SES index, 1 hospital changed status from worse than the NYC average to no different than the NYC average. After adjustment for the AHRQ SES index, 1 NYC minority-serving hospital was reclassified from worse to no different than average.
Conclusions: Although patients with higher SES were less likely to be admitted, the impact of SES on readmission was small. In NYC, inclusion of the AHRQ SES score in a CMS-based model did not impact hospital-level profiling based on 30-day readmission.
Keywords: heart failure; patient readmission; social class.
© 2014 American Heart Association, Inc.
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Comment in
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Measuring quality and enacting policy: readmission rates and socioeconomic factors.Circ Cardiovasc Qual Outcomes. 2014 May;7(3):350-2. doi: 10.1161/CIRCOUTCOMES.114.001037. Epub 2014 May 13. Circ Cardiovasc Qual Outcomes. 2014. PMID: 24823951 No abstract available.
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