
Variation in hospital mortality has been described for coronavirus disease , but the factors that explain these differences remain unclear. Objective: Our objective was to use a large, nationally representative data set of critically ill adults with COVID-19 to determine which factors explain mortality variability. The median odds ratio was calculated to compare outcomes in higher- versus lower-mortality hospitals. A gradient-boosted machine algorithm was developed for individual-level mortality models. After adjustment for patient- and hospital-level domains, interhospital variation was attenuated (odds ratio decline from 2.06). For individual patients, the relative contribution of each domain to mortality risk was as follows: acute physiology , demographics and comorbidities , socioeconomic status, strain, hospital quality, and treatments...
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