County-level socioeconomic status adjustment of acute myocardial infarction mortality hospital performance measure in the U.S.

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Gunn, L., Daley, S., Kajendrakumar, B., Nandhakumar, S., Personett, C., Sholes, M., … Korvink, M. (2021). County-level socioeconomic status adjustment of acute myocardial infarction mortality hospital performance measure in the U.S. Healthcare. https://doi.org/doi:10.3390/healthcare9111424
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Description

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.

Details
Title

County-level socioeconomic status adjustment of acute myocardial infarction mortality hospital performance measure in the U.S.

Author(s)

Gunn, Laura
Daley, Sean
Kajendrakumar, Bakthameera
Nandhakumar, Samyuktha
Personett, Christine
Sholes, Michael
Thapa, Swornim
Xue, Chen
Korvink, Michael

UNC Charlotte Affiliate Type

Faculty

Publisher

MDPI

Extent

1 online resource

Date Published

2021

Material Type

Journal article

Genre

articles

Resource Type

text

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.

Subjects--Topics

Myocardial infarction
Hospital care

Is Part Of

Healthcare

Language

English

Published Version (Please cite this version)

doi:10.3390/healthcare9111424

Publisher's Version

https://www.mdpi.com/2227-9032/9/11/1424

Permalink

http://hdl.handle.net/20.500.13093/work:226

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