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

Michael Korvink, Hyeong Choi, Madeleine Biondolillo, Louise Zrull, Jessica Trail, John Martin, Amy Ballard, Tara Bain, Daniel DeBehnke
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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.

将健康的社会驱动因素纳入医院评级,并应用于 100 强医院研究。
该研究旨在调查百强医院研究中健康的社会驱动因素(SDOH)与医院绩效之间的关系,探索识别为边缘化社区服务的医院的方法。研究使用的公开数据来源于美国医疗保险和医疗补助服务中心(Centers for Medicare and Medicaid Services)和 2023 年百强医院研究。研究采用了多变量分层广义线性回归模型,以评估通过主成分分析得出的 SDOH 综合变量与百强医院研究中医院整体绩效指标之间的关联。分析结果显示,SDOH因素与研究排名结果之间存在统计学意义上的显著关联。在 "百佳医院 "研究中,SDOH 综合变量对医院绩效具有重要的预测作用。考虑 SDOH 对于认可为边缘化社区服务的高绩效医院至关重要。研究结果表明,有必要在各种行业项目的医院排名方法中更广泛地考虑 SDOH 因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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