Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC

Detalhes bibliográficos
Autor(a) principal: GARCIA, LEANDRO
Data de Publicação: 2020
Outros Autores: Andrade, Matheus Pacheco de, Pedebôs, Lucas Alexandre, Traebert, Jefferson, Traebert, Eliane Silva de Azevedo, Moura, Guilherme Valle
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1630
Resumo: Introduction: The access to COVID-19 hospital treatment is important to mitigate the impact caused by socioeconomic issues in the treatment of the disease. Objective: To analyze the difference between public and private hospital care in mortality due to COVID-19 in Florianópolis/SC, Brazil. Methods: Historical cohort with confirmed patient data with notification made between February 22nd 2020 and November 9th 2020 in hospitals in the city. Data were provided by the Municipal Health Secretariat. In order to control the socioeconomic factors that could simultaneously influence the search for the type of hospital and mortality, a double-robustness approach was used. In the first stage, pairing of notified individuals in public and private hospitals was carried out by genetic algorithm, using sample replacement. In the second stage, the probability of death was estimated, conditioned by the type of hospital (public or private), symptoms, comorbidities, socioeconomic factors, age, age squared, sex, race / skin color and month of symptom onset using a logistic regression. Finally, the difference between the densities of probability of death of the two hospital types was analyzed. Results: Data from 2,497 people, 1,244 from public hospitals and 1,253 from private hospitals were analyzed. The conditional probability of death assuming that all patients were notified in public hospitals was 0.0010 (95% CI 0.0001; 0.0046) and if all were notified in private hospitals it was 0.0009 (95% CI 0.0001; 0.0039). The difference between the two probabilities was -0,0002 (95% CI -0.0013; 0.0005). Conclusion: The probability of death from COVID-19 was similar among patients seen in public and private hospitals during the period studied.
id SCI-1_7aa61b867d922782aaba44e21dfcabe6
oai_identifier_str oai:ops.preprints.scielo.org:preprint/1630
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Mortality due to COVID-19 in public and private hospitals in Florianópolis / SCMortalidade por COVID-19 em hospitais públicos e privados de Florianópolis/SCCOVID-19HospitalMortalidadePúblicoPrivadoCOVID-19HospitalMortalityPublicPrivateIntroduction: The access to COVID-19 hospital treatment is important to mitigate the impact caused by socioeconomic issues in the treatment of the disease. Objective: To analyze the difference between public and private hospital care in mortality due to COVID-19 in Florianópolis/SC, Brazil. Methods: Historical cohort with confirmed patient data with notification made between February 22nd 2020 and November 9th 2020 in hospitals in the city. Data were provided by the Municipal Health Secretariat. In order to control the socioeconomic factors that could simultaneously influence the search for the type of hospital and mortality, a double-robustness approach was used. In the first stage, pairing of notified individuals in public and private hospitals was carried out by genetic algorithm, using sample replacement. In the second stage, the probability of death was estimated, conditioned by the type of hospital (public or private), symptoms, comorbidities, socioeconomic factors, age, age squared, sex, race / skin color and month of symptom onset using a logistic regression. Finally, the difference between the densities of probability of death of the two hospital types was analyzed. Results: Data from 2,497 people, 1,244 from public hospitals and 1,253 from private hospitals were analyzed. The conditional probability of death assuming that all patients were notified in public hospitals was 0.0010 (95% CI 0.0001; 0.0046) and if all were notified in private hospitals it was 0.0009 (95% CI 0.0001; 0.0039). The difference between the two probabilities was -0,0002 (95% CI -0.0013; 0.0005). Conclusion: The probability of death from COVID-19 was similar among patients seen in public and private hospitals during the period studied.Introdução: O acesso ao tratamento hospitalar da COVID-19 é importante para amenizar o impacto causado pelas questões socioeconômicas no tratamento da doença. Objetivo: Analisar diferença da atenção hospitalar pública ou privada na mortalidade por COVID-19 em Florianópolis/SC. Métodos: Coorte histórica com dados de pacientes confirmados com notificação realizada entre 22 de fevereiro de 2020 e 09 de novembro de 2020 em hospitais da cidade. Os dados foram fornecidos pela Secretaria Municipal de Saúde. Para controlar os fatores socioeconômicos que poderiam influenciar simultaneamente a busca do tipo de estabelecimento hospitalar e a mortalidade, utilizou-se abordagem de dupla-robustez. Na primeira etapa realizou-se pareamento de indivíduos notificados em hospitais públicos e privados por algoritmo genético. Na segunda etapa, estimou-se a probabilidade de óbito condicionada ao tipo de hospital (público ou privado), aos sintomas, comorbidades, fatores socioeconômicos, idade, idade ao quadrado, sexo, raça/cor da pele e mês do início dos sintomas por meio de regressão logística. Analisou-se, por fim, a diferença entre as densidades de probabilidade de óbito dos dois tipos hospitalares. Resultados: Foram analisados dados de 2.497 pessoas, 1.244 de hospitais públicos e 1.253 de privados. A probabilidade condicional de óbito assumindo que todos os pacientes fossem notificados em hospitais públicos foi de 0,0010 (IC 95% 0,0001; 0,0046) e se todos fossem notificados em hospitais privados foi de 0,0009 (IC 95% 0,0001; 0,0039). A diferença entre as duas probabilidades foi de -0,0002 (IC 95% -0,0013; 0,0005). Conclusão: A probabilidade de óbito por COVID-19 mostrou-se semelhante entre pacientes atendidos em hospitais públicos e privados no período estudado.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-12-25info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/163010.1590/SciELOPreprints.1630porhttps://preprints.scielo.org/index.php/scielo/article/view/1630/2588Copyright (c) 2020 Leandro Pereira Garcia, Matheus Pacheco de Andrade, Lucas Alexandre Pedebôs, Jefferson Traebert, Eliane Silva de Azevedo Traebert, Guilherme Valle Mourahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGARCIA, LEANDROAndrade, Matheus Pacheco dePedebôs, Lucas AlexandreTraebert, Jefferson Traebert, Eliane Silva de AzevedoMoura, Guilherme Vallereponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-12-17T14:42:53Zoai:ops.preprints.scielo.org:preprint/1630Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-12-17T14:42:53SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
Mortalidade por COVID-19 em hospitais públicos e privados de Florianópolis/SC
title Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
spellingShingle Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
GARCIA, LEANDRO
COVID-19
Hospital
Mortalidade
Público
Privado
COVID-19
Hospital
Mortality
Public
Private
title_short Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
title_full Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
title_fullStr Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
title_full_unstemmed Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
title_sort Mortality due to COVID-19 in public and private hospitals in Florianópolis / SC
author GARCIA, LEANDRO
author_facet GARCIA, LEANDRO
Andrade, Matheus Pacheco de
Pedebôs, Lucas Alexandre
Traebert, Jefferson
Traebert, Eliane Silva de Azevedo
Moura, Guilherme Valle
author_role author
author2 Andrade, Matheus Pacheco de
Pedebôs, Lucas Alexandre
Traebert, Jefferson
Traebert, Eliane Silva de Azevedo
Moura, Guilherme Valle
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv GARCIA, LEANDRO
Andrade, Matheus Pacheco de
Pedebôs, Lucas Alexandre
Traebert, Jefferson
Traebert, Eliane Silva de Azevedo
Moura, Guilherme Valle
dc.subject.por.fl_str_mv COVID-19
Hospital
Mortalidade
Público
Privado
COVID-19
Hospital
Mortality
Public
Private
topic COVID-19
Hospital
Mortalidade
Público
Privado
COVID-19
Hospital
Mortality
Public
Private
description Introduction: The access to COVID-19 hospital treatment is important to mitigate the impact caused by socioeconomic issues in the treatment of the disease. Objective: To analyze the difference between public and private hospital care in mortality due to COVID-19 in Florianópolis/SC, Brazil. Methods: Historical cohort with confirmed patient data with notification made between February 22nd 2020 and November 9th 2020 in hospitals in the city. Data were provided by the Municipal Health Secretariat. In order to control the socioeconomic factors that could simultaneously influence the search for the type of hospital and mortality, a double-robustness approach was used. In the first stage, pairing of notified individuals in public and private hospitals was carried out by genetic algorithm, using sample replacement. In the second stage, the probability of death was estimated, conditioned by the type of hospital (public or private), symptoms, comorbidities, socioeconomic factors, age, age squared, sex, race / skin color and month of symptom onset using a logistic regression. Finally, the difference between the densities of probability of death of the two hospital types was analyzed. Results: Data from 2,497 people, 1,244 from public hospitals and 1,253 from private hospitals were analyzed. The conditional probability of death assuming that all patients were notified in public hospitals was 0.0010 (95% CI 0.0001; 0.0046) and if all were notified in private hospitals it was 0.0009 (95% CI 0.0001; 0.0039). The difference between the two probabilities was -0,0002 (95% CI -0.0013; 0.0005). Conclusion: The probability of death from COVID-19 was similar among patients seen in public and private hospitals during the period studied.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-25
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1630
10.1590/SciELOPreprints.1630
url https://preprints.scielo.org/index.php/scielo/preprint/view/1630
identifier_str_mv 10.1590/SciELOPreprints.1630
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1630/2588
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047821434617856