COVID-19 hospitalizations in Brazil's Unified Health System (SUS).

<h4>Objective</h4>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.<h4>Methods</h4>Cross-sectional study, based on secondary data on COVID...

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Main Authors: Carla Lourenço Tavares de Andrade, Claudia Cristina de Aguiar Pereira, Mônica Martins, Sheyla Maria Lemos Lima, Margareth Crisóstomo Portela
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0243126
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spelling doaj-d12b09e1f12e4a5d846c9837821916e22021-03-04T12:27:46ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011512e024312610.1371/journal.pone.0243126COVID-19 hospitalizations in Brazil's Unified Health System (SUS).Carla Lourenço Tavares de AndradeClaudia Cristina de Aguiar PereiraMônica MartinsSheyla Maria Lemos LimaMargareth Crisóstomo Portela<h4>Objective</h4>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.<h4>Methods</h4>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.<h4>Results</h4>89,405 hospitalizations were observed, of which 24.4% resulted in death. COVID-19 patients hospitalized in the SUS were predominantly male (56.5%) with a mean age of 58.9 years. The length of stay ranged from less than 24 hours to 114 days, with a mean of 6.9 (±6.5) days. Of the total number of hospitalizations, 22.6% reported ICU use. The odds on in-hospital death were 16.8% higher among men than among women and increased with age. Black individuals had a higher likelihood of death. The behavior of the Charlson and Elixhauser indices was consistent with the hypothesis of a higher risk of death among patients with comorbidities, and obesity had an independent effect on increasing this risk. Some states, such as Amazonas and Rio de Janeiro, had a higher risk of in-hospital death from COVID-19. The odds on in-hospital death were 72.1% higher in municipalities with at least 100,000 inhabitants, though being hospitalized in the municipality of residence was a protective factor.<h4>Conclusion</h4>There was broad variation in COVID-19 in-hospital mortality in the SUS, associated with demographic and clinical factors, social inequality, and differences in the structure of services and quality of health care.https://doi.org/10.1371/journal.pone.0243126
collection DOAJ
language English
format Article
sources DOAJ
author Carla Lourenço Tavares de Andrade
Claudia Cristina de Aguiar Pereira
Mônica Martins
Sheyla Maria Lemos Lima
Margareth Crisóstomo Portela
spellingShingle Carla Lourenço Tavares de Andrade
Claudia Cristina de Aguiar Pereira
Mônica Martins
Sheyla Maria Lemos Lima
Margareth Crisóstomo Portela
COVID-19 hospitalizations in Brazil's Unified Health System (SUS).
PLoS ONE
author_facet Carla Lourenço Tavares de Andrade
Claudia Cristina de Aguiar Pereira
Mônica Martins
Sheyla Maria Lemos Lima
Margareth Crisóstomo Portela
author_sort Carla Lourenço Tavares de Andrade
title COVID-19 hospitalizations in Brazil's Unified Health System (SUS).
title_short COVID-19 hospitalizations in Brazil's Unified Health System (SUS).
title_full COVID-19 hospitalizations in Brazil's Unified Health System (SUS).
title_fullStr COVID-19 hospitalizations in Brazil's Unified Health System (SUS).
title_full_unstemmed COVID-19 hospitalizations in Brazil's Unified Health System (SUS).
title_sort covid-19 hospitalizations in brazil's unified health system (sus).
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description <h4>Objective</h4>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.<h4>Methods</h4>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.<h4>Results</h4>89,405 hospitalizations were observed, of which 24.4% resulted in death. COVID-19 patients hospitalized in the SUS were predominantly male (56.5%) with a mean age of 58.9 years. The length of stay ranged from less than 24 hours to 114 days, with a mean of 6.9 (±6.5) days. Of the total number of hospitalizations, 22.6% reported ICU use. The odds on in-hospital death were 16.8% higher among men than among women and increased with age. Black individuals had a higher likelihood of death. The behavior of the Charlson and Elixhauser indices was consistent with the hypothesis of a higher risk of death among patients with comorbidities, and obesity had an independent effect on increasing this risk. Some states, such as Amazonas and Rio de Janeiro, had a higher risk of in-hospital death from COVID-19. The odds on in-hospital death were 72.1% higher in municipalities with at least 100,000 inhabitants, though being hospitalized in the municipality of residence was a protective factor.<h4>Conclusion</h4>There was broad variation in COVID-19 in-hospital mortality in the SUS, associated with demographic and clinical factors, social inequality, and differences in the structure of services and quality of health care.
url https://doi.org/10.1371/journal.pone.0243126
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