Ontology highlight
ABSTRACT: Objective
To study the profile of hospitalizations due to COVID-19 in the Unified Health System (SUS) in Brazil and to identify factors associated with in-hospital mortality related to the disease.Methods
Cross-sectional study, based on secondary data on COVID-19 hospitalizations that occurred in the SUS between late February through June. Patients aged 18 years or older with primary or secondary diagnoses indicative of COVID-19 were included. Bivariate analyses were performed and generalized linear mixed models (GLMM) were estimated with random effects intercept. The modeling followed three steps, including: attributes of the patients; elements of the care process; and characteristics of the hospital and place of hospitalization.Results
89,405 hospitalizations were
SUBMITTER: de Andrade CLT
PROVIDER: S-EPMC7728222 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature