151. Measuring hospital-specific disparities by dual eligibility and race to reduce health inequities.
- Author
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Lloren A, Liu S, Herrin J, Lin Z, Zhou G, Wang Y, Kuang M, Zhou S, Farietta T, McCole K, Charania S, Dorsey Sheares K, and Bernheim S
- Subjects
- Aged, Female, Heart Failure epidemiology, Heart Failure ethnology, Humans, Insurance Claim Review, Male, Medicare, Myocardial Infarction epidemiology, Myocardial Infarction ethnology, Patient Readmission statistics & numerical data, Pneumonia epidemiology, Pneumonia ethnology, Quality of Health Care, Racial Groups, United States epidemiology, Dual MEDICAID MEDICARE Eligibility, Healthcare Disparities, Hospitals statistics & numerical data, Inpatients statistics & numerical data
- Abstract
Objective: To propose and evaluate a metric for quantifying hospital-specific disparities in health outcomes that can be used by patients and hospitals., Data Sources/study Setting: Inpatient admissions for Medicare patients with acute myocardial infarction, heart failure, or pneumonia to all non-federal, short-term, acute care hospitals during 2012-2015., Study Design: Building on the current Centers for Medicare and Medicaid Services methodology for calculating risk-standardized readmission rates, we developed models that include a hospital-specific random coefficient for either patient dual eligibility status or African American race. These coefficients quantify the difference in risk-standardized outcomes by dual eligibility and race at a given hospital after accounting for the hospital's patient case mix and proportion of dual eligible or African American patients. We demonstrate this approach and report variation and performance in hospital-specific disparities., Principal Findings: Dual eligibility and African American race were associated with higher readmission rates within hospitals for all three conditions. However, this disparity effect varied substantially across hospitals., Conclusion: Our models isolate a hospital-specific disparity effect and demonstrate variation in quality of care for different groups of patients across conditions and hospitals. Illuminating within-hospital disparities can incentivize hospitals to reduce inequities in health care quality., (© 2019 The Authors. Health Services Research published by Wiley Periodicals, Inc. on behalf of Health Research and Educational Trust.)
- Published
- 2019
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