Inpatient flow for COVID-19 in the Brazilian health regions

Detalhes bibliográficos
Autor(a) principal: Silva, Everton Nunes da
Data de Publicação: 2021
Outros Autores: Soares, Fernando Ramalho Gameleira, Frio, Gustavo Saraiva, Oliveira, Aimê, Cavalcante, Fabrício Vieira, Matins, Natália Regina Alves Vaz, Oliveira, Klébya Hellen Dantas, Pereira, Claudia Cristina de Aguiar, Barreto, Ivana Cristina de Holanda Cunha, Sanchez, Mauro Niskier, Herkrath, Fernando José, Santos, Leonor Maria Pacheco
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1849
Resumo: Objective: To investigate the flows of hospitalizations for COVID-19 in the 450 regions and 117 Brazilian health macro-regions between March and October 2020. Method: Descriptive study, comprising all hospitalizations due to COVID-19 registered in the Flu Epidemiological Surveillance Information System (SIVEP-Gripe) between the 8th and 44th epidemiological weeks of 2020. The proportion of hospitalizations for COVID-19 occurred within same health region of residency was calculated, stratified according to periods of greater and lesser demand for health care, according to the population size of health regions. The indicator of migratory efficacy was calculated, which takes into account the evasion and invasion of patients, by crossing the data of origin of the patients (health region of residence) with the data of the place of hospitalization (health region of attendance). Results: 397,830 admissions were identified for COVID-19 in the period. Evasion was 11.9% of residents in health regions and 6.8% in macro-regions, pattern that was maintained during the peak period of hospitalizations for COVID-19. There was an average of 17.6% of evasion of residents of health regions in the Northeast and of 8.8% in health regions of the South. Evasion was more accentuated in health regions with up to 100 thousand / inhabitants (36.9%), which was 7 times greater than that observed in health regions with more than 2 million / inhabitants (5.2%). The negative migratory efficacy indicator (-0.39) indicated a predominance of evasion. Of the 450 Brazilian health regions, 117 (39.3%) had a coefficient of migratory efficacy between -1 and -0.75 and 113 (25.1%) between -0.75 and -0.25. Conclusion: The results indicate that the regionalization of the health system proved to be adequate in the organization of care in the territory, however the long distances traveled are still worrying.
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spelling Inpatient flow for COVID-19 in the Brazilian health regionsFluxo de internação por COVID-19 nas regiões de saúde do BrasilCOVID-19RegionalizaçãoHospitalizaçãoTransferência de PacientesCOVID-19RegionalizationHospitalizationPatient TransferObjective: To investigate the flows of hospitalizations for COVID-19 in the 450 regions and 117 Brazilian health macro-regions between March and October 2020. Method: Descriptive study, comprising all hospitalizations due to COVID-19 registered in the Flu Epidemiological Surveillance Information System (SIVEP-Gripe) between the 8th and 44th epidemiological weeks of 2020. The proportion of hospitalizations for COVID-19 occurred within same health region of residency was calculated, stratified according to periods of greater and lesser demand for health care, according to the population size of health regions. The indicator of migratory efficacy was calculated, which takes into account the evasion and invasion of patients, by crossing the data of origin of the patients (health region of residence) with the data of the place of hospitalization (health region of attendance). Results: 397,830 admissions were identified for COVID-19 in the period. Evasion was 11.9% of residents in health regions and 6.8% in macro-regions, pattern that was maintained during the peak period of hospitalizations for COVID-19. There was an average of 17.6% of evasion of residents of health regions in the Northeast and of 8.8% in health regions of the South. Evasion was more accentuated in health regions with up to 100 thousand / inhabitants (36.9%), which was 7 times greater than that observed in health regions with more than 2 million / inhabitants (5.2%). The negative migratory efficacy indicator (-0.39) indicated a predominance of evasion. Of the 450 Brazilian health regions, 117 (39.3%) had a coefficient of migratory efficacy between -1 and -0.75 and 113 (25.1%) between -0.75 and -0.25. Conclusion: The results indicate that the regionalization of the health system proved to be adequate in the organization of care in the territory, however the long distances traveled are still worrying.Objetivo: Investigar os fluxos de internações por COVID-19 nas 450 regiões e 117 macrorregiões de saúde brasileiras no período de março a outubro de 2020. Método: Estudo descritivo, compreendendo todas as internações por COVID-19 registradas no Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) entre a 8ª e a 44ª semanas epidemiológicas de 2020. Foi calculada a proporção das internações por COVID-19 realizadas pelos residentes que ocorreram dentro da sua respectiva região de saúde, estratificado segundo períodos de maior e menor demanda de internações e segundo o porte populacional das regiões de saúde. Foi calculado o indicador de eficácia migratória, que leva em consideração a evasão e invasão de pacientes, por meio do cruzamento dos dados de origem dos pacientes (região de saúde de residência) com os dados do local da realização das internações (região de saúde de atendimento). Resultados: Foram identificadas 397.830 internações por COVID-19 no Brasil. A evasão foi de 11,9% dos residentes nas regiões de saúde e de 6,8% nas macrorregiões; o padrão que se manteve também no período de pico das internações por COVID-19. Houve em média 17,6% de evasão dos residentes das regiões de saúde do Nordeste e de 8,8% nas regiões de saúde do Sul. A evasão foi mais acentuada nas regiões de saúde com até 100 mil/hab. (36,9%), a qual foi 7 vezes maior que a verificada nas regiões de saúde com mais de 2 milhões/habitantes (5,2%). O indicador de eficácia migratória negativo (-0,39) indicou predomínio da evasão. Das 450 regiões de saúde brasileiras, 117 (39,3%) apresentaram coeficiente de eficácia migratória entre -1 e -0,75 e 113 (25,1%) entre -0,75 e -0,25. Conclusão: Os resultados indicam que a regionalização do sistema de saúde mostrou-se adequada na organização do atendimento no território, porém as longas distâncias percorridas ainda são preocupantesSciELO PreprintsSciELO PreprintsSciELO Preprints2021-02-18info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/184910.1590/SciELOPreprints.1849porhttps://preprints.scielo.org/index.php/scielo/article/view/1849/2991Copyright (c) 2021 Leonor Maria Pacheco Santos, Everton Nunes da Silva, Fernando Ramalho Gameleira Soares, Gustavo Saraiva Frio, Aimê Oliveira, Fabrício Vieira Cavalcante, Natália Regina Alves Vaz Matins, Klébya Hellen Dantas Oliveira, Claudia Cristina de Aguiar Pereira, Ivana Cristina de Holanda Cunha Barreto, Mauro Niskier Sanchez, Fernando José Herkrathhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Everton Nunes daSoares, Fernando Ramalho Gameleira Frio, Gustavo Saraiva Oliveira, AimêCavalcante, Fabrício Vieira Matins, Natália Regina Alves Vaz Oliveira, Klébya Hellen DantasPereira, Claudia Cristina de AguiarBarreto, Ivana Cristina de Holanda CunhaSanchez, Mauro NiskierHerkrath, Fernando José Santos, Leonor Maria Pachecoreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-02-14T02:54:42Zoai:ops.preprints.scielo.org:preprint/1849Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-02-14T02:54:42SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Inpatient flow for COVID-19 in the Brazilian health regions
Fluxo de internação por COVID-19 nas regiões de saúde do Brasil
title Inpatient flow for COVID-19 in the Brazilian health regions
spellingShingle Inpatient flow for COVID-19 in the Brazilian health regions
Silva, Everton Nunes da
COVID-19
Regionalização
Hospitalização
Transferência de Pacientes
COVID-19
Regionalization
Hospitalization
Patient Transfer
title_short Inpatient flow for COVID-19 in the Brazilian health regions
title_full Inpatient flow for COVID-19 in the Brazilian health regions
title_fullStr Inpatient flow for COVID-19 in the Brazilian health regions
title_full_unstemmed Inpatient flow for COVID-19 in the Brazilian health regions
title_sort Inpatient flow for COVID-19 in the Brazilian health regions
author Silva, Everton Nunes da
author_facet Silva, Everton Nunes da
Soares, Fernando Ramalho Gameleira
Frio, Gustavo Saraiva
Oliveira, Aimê
Cavalcante, Fabrício Vieira
Matins, Natália Regina Alves Vaz
Oliveira, Klébya Hellen Dantas
Pereira, Claudia Cristina de Aguiar
Barreto, Ivana Cristina de Holanda Cunha
Sanchez, Mauro Niskier
Herkrath, Fernando José
Santos, Leonor Maria Pacheco
author_role author
author2 Soares, Fernando Ramalho Gameleira
Frio, Gustavo Saraiva
Oliveira, Aimê
Cavalcante, Fabrício Vieira
Matins, Natália Regina Alves Vaz
Oliveira, Klébya Hellen Dantas
Pereira, Claudia Cristina de Aguiar
Barreto, Ivana Cristina de Holanda Cunha
Sanchez, Mauro Niskier
Herkrath, Fernando José
Santos, Leonor Maria Pacheco
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Everton Nunes da
Soares, Fernando Ramalho Gameleira
Frio, Gustavo Saraiva
Oliveira, Aimê
Cavalcante, Fabrício Vieira
Matins, Natália Regina Alves Vaz
Oliveira, Klébya Hellen Dantas
Pereira, Claudia Cristina de Aguiar
Barreto, Ivana Cristina de Holanda Cunha
Sanchez, Mauro Niskier
Herkrath, Fernando José
Santos, Leonor Maria Pacheco
dc.subject.por.fl_str_mv COVID-19
Regionalização
Hospitalização
Transferência de Pacientes
COVID-19
Regionalization
Hospitalization
Patient Transfer
topic COVID-19
Regionalização
Hospitalização
Transferência de Pacientes
COVID-19
Regionalization
Hospitalization
Patient Transfer
description Objective: To investigate the flows of hospitalizations for COVID-19 in the 450 regions and 117 Brazilian health macro-regions between March and October 2020. Method: Descriptive study, comprising all hospitalizations due to COVID-19 registered in the Flu Epidemiological Surveillance Information System (SIVEP-Gripe) between the 8th and 44th epidemiological weeks of 2020. The proportion of hospitalizations for COVID-19 occurred within same health region of residency was calculated, stratified according to periods of greater and lesser demand for health care, according to the population size of health regions. The indicator of migratory efficacy was calculated, which takes into account the evasion and invasion of patients, by crossing the data of origin of the patients (health region of residence) with the data of the place of hospitalization (health region of attendance). Results: 397,830 admissions were identified for COVID-19 in the period. Evasion was 11.9% of residents in health regions and 6.8% in macro-regions, pattern that was maintained during the peak period of hospitalizations for COVID-19. There was an average of 17.6% of evasion of residents of health regions in the Northeast and of 8.8% in health regions of the South. Evasion was more accentuated in health regions with up to 100 thousand / inhabitants (36.9%), which was 7 times greater than that observed in health regions with more than 2 million / inhabitants (5.2%). The negative migratory efficacy indicator (-0.39) indicated a predominance of evasion. Of the 450 Brazilian health regions, 117 (39.3%) had a coefficient of migratory efficacy between -1 and -0.75 and 113 (25.1%) between -0.75 and -0.25. Conclusion: The results indicate that the regionalization of the health system proved to be adequate in the organization of care in the territory, however the long distances traveled are still worrying.
publishDate 2021
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