County-Level Socioeconomic Status Adjustment of Acute Myocardial Infarction Mortality Hospital Performance Measure in
Sean Daley1,2, Bakthameera Kajendrakumar1, Samyuktha Nandhakumar1,2
1Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Socioeconomic status (SES) factors explain an additional 8% of the variability in hospital 30-day acute myocardial infarction (AMI) mortality rates. Incorporating SES into risk adjustment can improve healthcare equity and resource allocation.
Area of Science:
- Health Services Research
- Health Outcomes
- Health Equity
Background:
- The Centers for Medicare and Medicaid Services (CMS) Hospital Compare (HC) provides risk-adjusted hospital performance metrics.
- Current CMS risk adjustment does not account for socioeconomic status (SES), despite its association with health disparities.
Purpose of the Study:
- To explore the association between county-level SES factors and 30-day acute myocardial infarction (AMI) mortality rates.
- To assess the potential of SES factors for improving risk-adjustment models in hospital performance metrics.
Main Methods:
- Utilized data from 2,462 hospitals, incorporating various county-level SES data sources.
- Employed multiple imputation and a stepwise backward elimination model selection using Akaike's information criteria.
Main Results:
- A final model with 14 predictors, primarily at the county level, was identified.
- SES factors explained an additional 8% of the variability in 30-day risk-standardized AMI mortality rates, beyond clinical factors.
Conclusions:
- SES factors are significant predictors of AMI mortality and should be considered for inclusion in future CMS risk-adjustment models.
- Incorporating SES into risk adjustment has implications for resource distribution, such as reimbursements, and addressing health inequities.
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