ITS Data Science, Premier, Inc., Charlotte, NC.
Department of Statistics, Penn State University, University Park, PA.
Am J Med Qual. 2024;39(4):137-144. doi: 10.1097/JMQ.0000000000000191. Epub 2024 Jun 28.
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.
目的在于探究健康社会决定因素（SDOH）与 100 强医院研究内医院绩效之间的关系，旨在探寻识别服务边缘化社区医院的方法。本研究使用了来自医疗保险和医疗补助服务中心及 2023 年 100 强医院研究的公开可得数据。研究采用多变量分层广义线性回归模型评估了使用主成分分析得出的 SDOH 综合变量与 100 强医院研究内整体医院绩效衡量指标之间的相关性。分析结果表明 SDOH 因素与研究排名结果之间存在显著关联。SDOH 综合变量是 100 强医院研究内绩效的一个重要预测指标。考虑 SDOH 对于识别服务边缘化社区的高绩效医院至关重要。研究结果表明，需要在各行业计划的医院排名方法中更广泛地考虑 SDOH。
