人口统计学因素很重要：新冠病毒病对医院评级可能产生的不成比例影响。
Demographics matter: the potentially disproportionate effect of COVID-19 on hospital ratings.
作者信息
Belasen Ariel R, Tracey Marlon R, Belasen Alan T
机构信息
Department of Economics and Finance, Southern Illinois University Edwardsville, 3144 Alumni Hall, Edwardsville, IL 62026, USA.
MBA in Healthcare Leadership, SUNY Empire State College, 113 West Avenue, Saratoga Springs, NY 12866, USA.
出版信息
Int J Qual Health Care. 2021 Mar 9;33(1). doi: 10.1093/intqhc/mzab036.
OBJECTIVE
To identify how features of the community in which a hospital serves differentially relate to its patients' experiences based on the quality of that hospital.
DESIGN
A Finite Mixture Model (FMM) is used to uncover a mix of two latent groups of hospitals that differ in quality. In the FMM, a multinomial logistic equation relates hospital-level factors to the odds of being in either group. And a multiple linear regression relates the characteristics of communities served by hospitals to the patients' expected ratings of their experiences at hospitals in each group. Thus, this association potentially varies with hospital quality. The analysis was conducted via Stata.
SETTING
Hospital Ratings are measured by Hospital Compare using the HCAHPS survey, a patient satisfaction survey required by the Centers for Medicare and Medicaid Services (CMS) for hospitals in the United States. Participants: 2,816 Medicare-certified acute care hospitals across all US states.
目的
确定医院所在社区的特征如何根据该医院的质量差异与患者的就医体验相关联。
设计
使用有限混合模型（FMM）来揭示质量不同的两类潜在医院群体。在FMM中，多项逻辑方程将医院层面的因素与处于任一群体的概率相关联。多元线性回归将医院所服务社区的特征与每组患者对其医院就医体验的预期评分相关联。因此，这种关联可能因医院质量而异。分析通过Stata进行。
背景
医院评级由“医院比较”使用HCAHPS调查进行衡量，HCAHPS调查是美国医疗保险和医疗补助服务中心（CMS）要求美国医院开展的患者满意度调查。参与者：美国所有州的2816家获得医疗保险认证的急性病护理医院。
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