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Int J Qual Health Care ; 33(1)2021 Mar 09.
Artículo en Inglés | MEDLINE | ID: covidwho-1109249

RESUMEN

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.


Asunto(s)
COVID-19/epidemiología , Centers for Medicare and Medicaid Services, U.S./normas , Indicadores de Calidad de la Atención de Salud/estadística & datos numéricos , Factores Socioeconómicos , Factores de Edad , Femenino , Humanos , Modelos Lineales , Masculino , Satisfacción del Paciente/estadística & datos numéricos , Características de la Residencia/estadística & datos numéricos , SARS-CoV-2 , Factores Sexuales , Estados Unidos/epidemiología
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