Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/11611 |
Resumo: | Introduction: the concern about the capacity of health care, mainly hospital, increases with the upsurge of the Covid-19 epidemic. Objective: to analyze SIVEP-Gripe data from 18 municipalities in the metropolitan region of Rio de Janeiro, of patients hospitalized for SARS in public and private hospitals. Methods: It is an ecological epidemiological study and a historical cohort with the cities and patients as units of analysis, from March to November 2020. Odds ratios were estimated for signs and symptoms, risk factors, whether public or private hospital, ICU admissions and deaths. Pearson’s chi-square test (p<0,05) was used. Results: Only Niterói admitted >90% of its residents. At least 25% of hospitals, public and private, admitted only one patient, leading to learning difficulties. Public hospitals were more likely to have older patients, black or brown skin color, with dyspnea, respiratory distress and low oxygen saturation, liver disease and immunosuppression, conditions that are at greater risk for negative outcomes. The chance of a patient having been in an ICU in a public hospital is about half of the private hospital and the chance of death was about three times. These results indicate that patients admitted to public hospitals had a failed assistance from primary care, since they had more signs and symptoms pointing to a negative outcome, indicating a delay in hospitalization. Conclusion: the studied municipalities, except Niterói, are not prepared to support their residents in the Covid-19 pandemic. There was a discrepancy in the attendance of public and private hospitals, as well as failures in primary care leading to a greater risk of unfavorable results and a high number of deaths in public hospital units. |
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Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based studyDesempeño de los municipios de la región metropolitana de Río de Janeiro en hospitalizaciones por Covid-19. Estudio basado en SIVEP-GripeDesempenho dos municípios da região metropolitana do Rio de Janeiro nas hospitalizações por Covid-19. Estudo baseado no SIVEP-GripeSíndrome Respiratória Aguda GraveCovid-19HospitalizaçãoUnidade de Terapia IntensivaÓbito. Severe acute respiratory syndromeCovid-19HospitalizationIntensive care unitDeaths.Síndrome Respiratorio Agudo SeveroCovid-19HospitalizaciónUnidad de cuidados intensivosÓbito.Introduction: the concern about the capacity of health care, mainly hospital, increases with the upsurge of the Covid-19 epidemic. Objective: to analyze SIVEP-Gripe data from 18 municipalities in the metropolitan region of Rio de Janeiro, of patients hospitalized for SARS in public and private hospitals. Methods: It is an ecological epidemiological study and a historical cohort with the cities and patients as units of analysis, from March to November 2020. Odds ratios were estimated for signs and symptoms, risk factors, whether public or private hospital, ICU admissions and deaths. Pearson’s chi-square test (p<0,05) was used. Results: Only Niterói admitted >90% of its residents. At least 25% of hospitals, public and private, admitted only one patient, leading to learning difficulties. Public hospitals were more likely to have older patients, black or brown skin color, with dyspnea, respiratory distress and low oxygen saturation, liver disease and immunosuppression, conditions that are at greater risk for negative outcomes. The chance of a patient having been in an ICU in a public hospital is about half of the private hospital and the chance of death was about three times. These results indicate that patients admitted to public hospitals had a failed assistance from primary care, since they had more signs and symptoms pointing to a negative outcome, indicating a delay in hospitalization. Conclusion: the studied municipalities, except Niterói, are not prepared to support their residents in the Covid-19 pandemic. There was a discrepancy in the attendance of public and private hospitals, as well as failures in primary care leading to a greater risk of unfavorable results and a high number of deaths in public hospital units.Introducción: la preocupación debido a la capacidad del atendimiento de la salud, especialmente en los hospitales, aumenta con el agravamiento de la epidemia del Covid-19. Objetivo: analizar los datos del SIVEP-Gripe de 18 municipios de la región metropolitana de Río de Janeiro, de pacientes hospitalizados por SARS en hospitales públicos y privados. Métodos: es un estudio epidemiológico ecológico y de cohorte histórico con el municipio y el paciente como unidades de análisis, de marzo a noviembre de 2020. Se estimaron las razones de probabilidad para las marcas y síntomas, los factores de riesgo, ya sea en hospitales públicos o privados, en la UCI y óbito . Se utilizó la prueba de chi-cuadrado de Pearson (p <0,05). Resultados: solo Niterói admitió > 90% de sus residentes. Al menos el 25% de los hospitales, públicos y privados, admitieron solo un paciente, lo que provocó dificultades de aprendizaje. Los hospitales públicos tenían más probabilidades de hospitalizar pacientes mayores, negros o morenos, con disnea, dificultad respiratoria y baja saturación de oxígeno, enfermedad hepática e inmunosupresión, condiciones de mayor riesgo de resultados negativos. La probabilidad de que un paciente haya estado en una UCI de un hospital público es aproximadamente la mitad de la del hospital privado y la probabilidad de muerte es aproximadamente tres veces mayor. Estos resultados indican que los pacientes ingresados en hospitales públicos tuvieron asistencia de atención primaria precaria ya que tenían más marcas y síntomas que apuntaban a un resultado negativo, lo que indica un retraso en la hospitalización. Conclusión: los municipios estudiados, excepto Niterói, no están preparados para apoyar a sus residentes en la pandemia Covid-19. Hubo una discrepancia en la asistencia de los hospitales públicos y privados, así como fallas en la atención primaria que llevaron a un mayor riesgo de resultados desfavorables y un alto número de muertes en unidades hospitalarias públicas.Introdução: a preocupação quanto à capacidade de atendimento em saúde, principalmente hospitalar, aumenta com o recrudescimento da epidemia do Covid-19. Objetivo: analisar dados do SIVEP-Gripe de 18 municípios da região metropolitana do Rio de Janeiro, de pacientes internados por SRAG em hospitais públicos e privados. Métodos: é um estudo epidemiológico ecológico e de coorte histórica com o município e o paciente como unidades de análise, no período de março a novembro de 2020. Foram estimadas as razões de chances para sinais e sintomas, fatores de risco, se hospital público ou privado, internação em UTI e óbitos. Empregou-se o teste do qui-quadrado de Pearson (p<0,05). Resultados: somente Niterói internou >90% dos seus residentes. Pelo menos 25% dos hospitais, públicos e privados, internaram somente um paciente levando à dificuldade de aprendizado. Os hospitais públicos apresentaram maior chance de terem internado pacientes mais velhos, de cor de pele preta ou parda, com dispneia, desconforto respiratório e baixa saturação de oxigênio, doença hepática e imunossupressão, condições de maior risco para resultados negativos. A chance de um paciente ter passado por uma UTI em um hospital público foi cerca da metade do hospital privado e a de morte foi cerca do triplo. Conclusão: os municípios estudados, exceto Niterói, não estão preparados para dar suporte a seus residentes na pandemia de Covid-19. Verificou-se discrepância no atendimento dos hospitais públicos e privados, assim como falhas na atenção básica levando a um maior risco de resultados desfavoráveis e um elevado número de óbitos nas unidades hospitalares públicas.Research, Society and Development2021-01-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1161110.33448/rsd-v10i1.11611Research, Society and Development; Vol. 10 No. 1; e25710111611Research, Society and Development; Vol. 10 Núm. 1; e25710111611Research, Society and Development; v. 10 n. 1; e257101116112525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/11611/10491Copyright (c) 2021 Helia Kawa; Dayse Mary da Silva Correia; Arthur Willkomm Kazniakowski ; Beatriz Nayra Dias de Andrade ; Cínthia Melo Arêas ; Jessyca Martins Lima da Silva ; Juliana Vianna de Freitas ; Lara Toretta Campo Dall’Orto; Larissa dos Santos Sebould Marinho; Marina Soares de Almeida e Silva; Melissa Corrêa Leal Gardengui ; Micael Paes Lessa ; Sarah Melo da Costa ; Sarah Pientznauer Ozório Costa ; Maria Luiza Garcia Rosahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessKawa, Helia Correia, Dayse Mary da Silva Kazniakowski , Arthur Willkomm Andrade , Beatriz Nayra Dias de Arêas , Cínthia Melo Silva , Jessyca Martins Lima da Freitas , Juliana Vianna de Dall’Orto, Lara Toretta Campo Marinho, Larissa dos Santos Sebould Silva, Marina Soares de Almeida e Gardengui , Melissa Corrêa Leal Lessa , Micael Paes Costa , Sarah Melo da Costa , Sarah Pientznauer OzórioRosa, Maria Luiza Garcia 2021-02-20T21:19:23Zoai:ojs.pkp.sfu.ca:article/11611Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:33:23.392055Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study Desempeño de los municipios de la región metropolitana de Río de Janeiro en hospitalizaciones por Covid-19. Estudio basado en SIVEP-Gripe Desempenho dos municípios da região metropolitana do Rio de Janeiro nas hospitalizações por Covid-19. Estudo baseado no SIVEP-Gripe |
title |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study |
spellingShingle |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study Kawa, Helia Síndrome Respiratória Aguda Grave Covid-19 Hospitalização Unidade de Terapia Intensiva Óbito. Severe acute respiratory syndrome Covid-19 Hospitalization Intensive care unit Deaths. Síndrome Respiratorio Agudo Severo Covid-19 Hospitalización Unidad de cuidados intensivos Óbito. |
title_short |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study |
title_full |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study |
title_fullStr |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study |
title_full_unstemmed |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study |
title_sort |
Performance of cities in the metropolitan region of Rio de Janeiro in hospitalizations for Covid-19. SIVEP-Gripe based study |
author |
Kawa, Helia |
author_facet |
Kawa, Helia Correia, Dayse Mary da Silva Kazniakowski , Arthur Willkomm Andrade , Beatriz Nayra Dias de Arêas , Cínthia Melo Silva , Jessyca Martins Lima da Freitas , Juliana Vianna de Dall’Orto, Lara Toretta Campo Marinho, Larissa dos Santos Sebould Silva, Marina Soares de Almeida e Gardengui , Melissa Corrêa Leal Lessa , Micael Paes Costa , Sarah Melo da Costa , Sarah Pientznauer Ozório Rosa, Maria Luiza Garcia |
author_role |
author |
author2 |
Correia, Dayse Mary da Silva Kazniakowski , Arthur Willkomm Andrade , Beatriz Nayra Dias de Arêas , Cínthia Melo Silva , Jessyca Martins Lima da Freitas , Juliana Vianna de Dall’Orto, Lara Toretta Campo Marinho, Larissa dos Santos Sebould Silva, Marina Soares de Almeida e Gardengui , Melissa Corrêa Leal Lessa , Micael Paes Costa , Sarah Melo da Costa , Sarah Pientznauer Ozório Rosa, Maria Luiza Garcia |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Kawa, Helia Correia, Dayse Mary da Silva Kazniakowski , Arthur Willkomm Andrade , Beatriz Nayra Dias de Arêas , Cínthia Melo Silva , Jessyca Martins Lima da Freitas , Juliana Vianna de Dall’Orto, Lara Toretta Campo Marinho, Larissa dos Santos Sebould Silva, Marina Soares de Almeida e Gardengui , Melissa Corrêa Leal Lessa , Micael Paes Costa , Sarah Melo da Costa , Sarah Pientznauer Ozório Rosa, Maria Luiza Garcia |
dc.subject.por.fl_str_mv |
Síndrome Respiratória Aguda Grave Covid-19 Hospitalização Unidade de Terapia Intensiva Óbito. Severe acute respiratory syndrome Covid-19 Hospitalization Intensive care unit Deaths. Síndrome Respiratorio Agudo Severo Covid-19 Hospitalización Unidad de cuidados intensivos Óbito. |
topic |
Síndrome Respiratória Aguda Grave Covid-19 Hospitalização Unidade de Terapia Intensiva Óbito. Severe acute respiratory syndrome Covid-19 Hospitalization Intensive care unit Deaths. Síndrome Respiratorio Agudo Severo Covid-19 Hospitalización Unidad de cuidados intensivos Óbito. |
description |
Introduction: the concern about the capacity of health care, mainly hospital, increases with the upsurge of the Covid-19 epidemic. Objective: to analyze SIVEP-Gripe data from 18 municipalities in the metropolitan region of Rio de Janeiro, of patients hospitalized for SARS in public and private hospitals. Methods: It is an ecological epidemiological study and a historical cohort with the cities and patients as units of analysis, from March to November 2020. Odds ratios were estimated for signs and symptoms, risk factors, whether public or private hospital, ICU admissions and deaths. Pearson’s chi-square test (p<0,05) was used. Results: Only Niterói admitted >90% of its residents. At least 25% of hospitals, public and private, admitted only one patient, leading to learning difficulties. Public hospitals were more likely to have older patients, black or brown skin color, with dyspnea, respiratory distress and low oxygen saturation, liver disease and immunosuppression, conditions that are at greater risk for negative outcomes. The chance of a patient having been in an ICU in a public hospital is about half of the private hospital and the chance of death was about three times. These results indicate that patients admitted to public hospitals had a failed assistance from primary care, since they had more signs and symptoms pointing to a negative outcome, indicating a delay in hospitalization. Conclusion: the studied municipalities, except Niterói, are not prepared to support their residents in the Covid-19 pandemic. There was a discrepancy in the attendance of public and private hospitals, as well as failures in primary care leading to a greater risk of unfavorable results and a high number of deaths in public hospital units. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-13 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/11611 10.33448/rsd-v10i1.11611 |
url |
https://rsdjournal.org/index.php/rsd/article/view/11611 |
identifier_str_mv |
10.33448/rsd-v10i1.11611 |
dc.language.iso.fl_str_mv |
por |
language |
por |
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https://rsdjournal.org/index.php/rsd/article/view/11611/10491 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
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Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 1; e25710111611 Research, Society and Development; Vol. 10 Núm. 1; e25710111611 Research, Society and Development; v. 10 n. 1; e25710111611 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
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Universidade Federal de Itajubá (UNIFEI) |
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UNIFEI |
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UNIFEI |
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Research, Society and Development |
collection |
Research, Society and Development |
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Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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rsd.articles@gmail.com |
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1797052744703410176 |