Inpatient flow for Covid-19 in the Brazilian health regions
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Saude em Debate |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-11042021000401111 |
Resumo: | ABSTRACT The study aims to investigate the flows of Covid-19 hospitalizations in the 450 Brazilian health regions and 117 health macro-regions between March and October 2020. This descriptive study includes all Covid-19 hospitalizations registered in the Influenza Epidemiological Surveillance Information System between the eighth and forty-fourth epidemiological weeks of 2020. In Brazil, 397,830 admissions were identified for Covid-19. Emigration was 11.9% for residents in health regions and 6.8% in macro-regions; this pattern was also maintained during the peak period of Covid-19 hospitalizations. The average evasion for residents of health regions was 17.6% in the Northeast and 8.8% in 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) revealed 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. Results indicate that the regionalization of the health system exhibited adequate organization of healthcare in the territory; however, the long distances traveled are still worrisome. |
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Inpatient flow for Covid-19 in the Brazilian health regionsCovid-19Regional health planningHospitalizationMovement and displacement of patientsABSTRACT The study aims to investigate the flows of Covid-19 hospitalizations in the 450 Brazilian health regions and 117 health macro-regions between March and October 2020. This descriptive study includes all Covid-19 hospitalizations registered in the Influenza Epidemiological Surveillance Information System between the eighth and forty-fourth epidemiological weeks of 2020. In Brazil, 397,830 admissions were identified for Covid-19. Emigration was 11.9% for residents in health regions and 6.8% in macro-regions; this pattern was also maintained during the peak period of Covid-19 hospitalizations. The average evasion for residents of health regions was 17.6% in the Northeast and 8.8% in 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) revealed 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. Results indicate that the regionalization of the health system exhibited adequate organization of healthcare in the territory; however, the long distances traveled are still worrisome.Centro Brasileiro de Estudos de Saúde2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-11042021000401111Saúde em Debate v.45 n.131 2021reponame:Saude em Debateinstname:Centro Brasileiro de Estudos de Saudeinstacron:CBES10.1590/0103-1104202113113iinfo:eu-repo/semantics/openAccessSilva,Everton Nunes daSoares,Fernando Ramalho GameleiraFrio,Gustavo SaraivaOliveira,AimêCavalcante,Fabrício VieiraMartins,Natália Regina Alves VazOliveira,Klébya Hellen Dantas deSantos,Leonor Maria Pachecoeng2021-12-06T00:00:00Zoai:scielo:S0103-11042021000401111Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0103-1104&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.phprevista@saudeemdebate.org.br2358-28980103-1104opendoar:2021-12-06T00:00Saude em Debate - Centro Brasileiro de Estudos de Saudefalse |
dc.title.none.fl_str_mv |
Inpatient flow for Covid-19 in the Brazilian health regions |
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 Regional health planning Hospitalization Movement and displacement of patients |
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 Martins,Natália Regina Alves Vaz Oliveira,Klébya Hellen Dantas de Santos,Leonor Maria Pacheco |
author_role |
author |
author2 |
Soares,Fernando Ramalho Gameleira Frio,Gustavo Saraiva Oliveira,Aimê Cavalcante,Fabrício Vieira Martins,Natália Regina Alves Vaz Oliveira,Klébya Hellen Dantas de Santos,Leonor Maria Pacheco |
author2_role |
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 Martins,Natália Regina Alves Vaz Oliveira,Klébya Hellen Dantas de Santos,Leonor Maria Pacheco |
dc.subject.por.fl_str_mv |
Covid-19 Regional health planning Hospitalization Movement and displacement of patients |
topic |
Covid-19 Regional health planning Hospitalization Movement and displacement of patients |
description |
ABSTRACT The study aims to investigate the flows of Covid-19 hospitalizations in the 450 Brazilian health regions and 117 health macro-regions between March and October 2020. This descriptive study includes all Covid-19 hospitalizations registered in the Influenza Epidemiological Surveillance Information System between the eighth and forty-fourth epidemiological weeks of 2020. In Brazil, 397,830 admissions were identified for Covid-19. Emigration was 11.9% for residents in health regions and 6.8% in macro-regions; this pattern was also maintained during the peak period of Covid-19 hospitalizations. The average evasion for residents of health regions was 17.6% in the Northeast and 8.8% in 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) revealed 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. Results indicate that the regionalization of the health system exhibited adequate organization of healthcare in the territory; however, the long distances traveled are still worrisome. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-11042021000401111 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-11042021000401111 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-1104202113113i |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Centro Brasileiro de Estudos de Saúde |
publisher.none.fl_str_mv |
Centro Brasileiro de Estudos de Saúde |
dc.source.none.fl_str_mv |
Saúde em Debate v.45 n.131 2021 reponame:Saude em Debate instname:Centro Brasileiro de Estudos de Saude instacron:CBES |
instname_str |
Centro Brasileiro de Estudos de Saude |
instacron_str |
CBES |
institution |
CBES |
reponame_str |
Saude em Debate |
collection |
Saude em Debate |
repository.name.fl_str_mv |
Saude em Debate - Centro Brasileiro de Estudos de Saude |
repository.mail.fl_str_mv |
revista@saudeemdebate.org.br |
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1754209001738862592 |