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Daley S, Kajendrakumar B, Nandhakumar S, Personett C, Sholes M, Thapa S, Xue C, Korvink M, Gunn LH. County-Level Socioeconomic Status Adjustment of Acute Myocardial Infarction Mortality Hospital Performance Measure in the U.S. Healthcare (Basel) 2021; 9:healthcare9111424. [PMID: 34828471 PMCID: PMC8620965 DOI: 10.3390/healthcare9111424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/01/2021] [Accepted: 10/19/2021] [Indexed: 11/16/2022] Open
Abstract
The U.S. Centers for Medicare and Medicaid Services’ (CMS’s) Hospital Compare (HC) data provides a collection of risk-adjusted hospital performance metrics intended to allow comparison of hospital-provided care. However, CMS does not adjust for socioeconomic status (SES) factors, which have been found to be associated with disparate health outcomes. Associations between county-level SES factors and CMS’s risk-adjusted 30-day acute myocardial infarction (AMI) mortality rates are explored for n = 2462 hospitals using a variety of sources for county-level SES information. Upon performing multiple imputation, a stepwise backward elimination model selection approach using Akaike’s information criteria was used to identify the optimal model. The resulting model, comprised of 14 predictors mostly at the county level, provides an additional 8% explanatory power to capture the variability in 30-day risk-standardized AMI mortality rates, which already account for patient-level clinical differences. SES factors may be an important feature for inclusion in future risk-adjustment models, which will have system and policy implications for distributing resources to hospitals, such as reimbursements. It also serves as a stepping stone to identify and address long-standing SES-related inequities.
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Affiliation(s)
- Sean Daley
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Bakthameera Kajendrakumar
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
| | - Samyuktha Nandhakumar
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Christine Personett
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Michael Sholes
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Swornim Thapa
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Chen Xue
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | | | - Laura H. Gunn
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; (S.D.); (B.K.); (S.N.); (C.P.); (M.S.); (S.T.); (C.X.)
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
- Faculty of Medicine, School of Public Health, Imperial College London, London W6 8RP, UK
- Correspondence:
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