Integrating Social Drivers of Health into Hospital Ratings with Application to the 100 Top Hospitals Study

Author:

Korvink Michael1,Choi Hyeong1,Biondolillo Madeleine1,Zrull Louise1,Trail Jessica2,Martin John1,Ballard Amy3,Bain Tara1,DeBehnke Daniel1

Affiliation:

1. ITS Data Science, Premier, Inc., Charlotte, NC

2. Department of Statistics, Penn State University, University Park, PA

3. Clinical Excellence, Peace Health, Vancouver, WA

Abstract

The objective was to investigate the relationship between social drivers of health (SDOH) and hospital performance within the 100 Top Hospitals study, exploring methods to recognize hospitals serving marginalized communities. Publicly available data sourced from the Centers for Medicare and Medicaid Services and the 2023 100 Top Hospitals study was used. The study employed multivariable hierarchical generalized linear regression models to assess the association between an SDOH composite variable derived using principal component analysis and overall hospital performance measures within the 100 Top Hospitals study. The analysis revealed a statistically significant association between SDOH factors and study ranking results. The SDOH composite variable is a significant predictor of performance within the 100 Top Hospitals study. Accounting for SDOH is essential to recognize high-performing hospitals serving marginalized communities. The findings suggest a need for broader considerations of SDOH in hospital ranking methodologies across various industry programs.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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