Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate

Detalhes bibliográficos
Autor(a) principal: Pereira, Silvana Alves
Data de Publicação: 2021
Outros Autores: Rodrigues, Brenda de Andrade, Cunha, Lizailma Silva, Pereira, Alianny Raphaely Rodrigues, Dantas, Diego de Sousa
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Saúde e Pesquisa (Online)
Texto Completo: https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8442
Resumo: This study aimed at analyzing the spatial distribution of beds in the Neonatal Intensive Care Units (NICU) and correlating it with Live Birth Rate and Child Mortality Rate (CMR) in the Brazilian states. This is an ecological study involving the 27 Brazilian states, with data obtained from health information systems and analyzed using SPSS 20.0 and GeoDa 1.12. There was heterogeneity in the spatial distribution of CMR and NICU, with a higher concentration of NICU beds not belonging to the Unified Health System (SUS) in the Southeast Region and SUS beds in the Northeast Region. CMR showed a negative spatial correlation with the number of beds (Moran's I = - 0.323) in the states of Amazonas and Pará. An inverse relationship between the number of NICUs available and the mortality rate was observed only in two states, which reinforces the importance of further investigating other causes for infant mortality in other states in future studies.
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spelling Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rateDistribuição espacial de leitos de Unidades de Terapia Intensiva Neonatal no Brasil e sua associação com a taxa de mortalidade infantilSpatial analysisChild mortalityNeonatal Intensive Care UnitsAnálise espacialMortalidade infantilUnidades de Terapia Intensiva NeonatalTerapia Intensiva NeonatalAnálise espacialTaxa de Mortalidade InfantillThis study aimed at analyzing the spatial distribution of beds in the Neonatal Intensive Care Units (NICU) and correlating it with Live Birth Rate and Child Mortality Rate (CMR) in the Brazilian states. This is an ecological study involving the 27 Brazilian states, with data obtained from health information systems and analyzed using SPSS 20.0 and GeoDa 1.12. There was heterogeneity in the spatial distribution of CMR and NICU, with a higher concentration of NICU beds not belonging to the Unified Health System (SUS) in the Southeast Region and SUS beds in the Northeast Region. CMR showed a negative spatial correlation with the number of beds (Moran's I = - 0.323) in the states of Amazonas and Pará. An inverse relationship between the number of NICUs available and the mortality rate was observed only in two states, which reinforces the importance of further investigating other causes for infant mortality in other states in future studies.Esta pesquisa teve o objetivo de analisar a distribuição espacial de leitos de Unidades de Terapia Intensiva Neonatal (UTIN) e correlacioná-la com a taxa de nascidos vivos e a Taxa de Mortalidade Infantil (TMI) das unidades federativas brasileiras. Trata-se de um estudo ecológico, envolvendo as 27 unidades federativas, com dados obtidos de sistemas de informação em saúde e analisados por meio do SPSS 20.0 e GeoDa 1.12. Observou-se heterogeneidade na distribuição espacial da TMI e UTIN, com uma concentração maior de leitos de UTIN não ligados ao Sistema Único de Saúde (SUS) na Região Sudeste e leitos SUS na Região Nordeste. A TMI apresentou correlação espacial negativa com o número de leitos (Moran’s I = - 0,323) nos estados de Amazonas e Pará. Concluiu-se que a relação inversa entre número de UTIN disponíveis e taxa de mortalidade limitou-se a dois estados, o que reforça a importância de mais estudos que possam investigar outras causalidades para a mortalidade infantil nas outras unidades federativas.Universidade Cesumar - UniCesumar2021-07-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por ParesArtigo originalapplication/pdfapplication/pdfhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/844210.17765/2176-9206.2021v14n4e8442Saúde e Pesquisa; Vol 14 No 4 (2021): out./dez. ; 879-887Saúde e Pesquisa; v. 14 n. 4 (2021): out./dez. ; 879-8872176-9206reponame:Saúde e Pesquisa (Online)instname:Cesumar Diretoria de Pesquisainstacron:CESUMARporenghttps://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8442/6739https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8442/6740Copyright (c) 2021 Saúde e Pesquisahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPereira, Silvana Alves Rodrigues, Brenda de Andrade Cunha, Lizailma Silva Pereira, Alianny Raphaely Rodrigues Dantas, Diego de Sousa 2022-08-18T18:05:15Zoai:ojs.pkp.sfu.ca:article/8442Revistahttps://periodicos.unicesumar.edu.br/index.php/saudpesqPUBhttps://periodicos.unicesumar.edu.br/index.php/saudpesq/oainaep@cesumar.br2176-92061983-1870opendoar:2022-08-18T18:05:15Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisafalse
dc.title.none.fl_str_mv Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
Distribuição espacial de leitos de Unidades de Terapia Intensiva Neonatal no Brasil e sua associação com a taxa de mortalidade infantil
title Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
spellingShingle Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
Pereira, Silvana Alves
Spatial analysis
Child mortality
Neonatal Intensive Care Units
Análise espacial
Mortalidade infantil
Unidades de Terapia Intensiva Neonatal
Terapia Intensiva Neonatal
Análise espacial
Taxa de Mortalidade Infantill
title_short Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
title_full Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
title_fullStr Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
title_full_unstemmed Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
title_sort Spatial distribution of number of Neonatal Intensive Care Units beds in Brazil and its association with child mortality rate
author Pereira, Silvana Alves
author_facet Pereira, Silvana Alves
Rodrigues, Brenda de Andrade
Cunha, Lizailma Silva
Pereira, Alianny Raphaely Rodrigues
Dantas, Diego de Sousa
author_role author
author2 Rodrigues, Brenda de Andrade
Cunha, Lizailma Silva
Pereira, Alianny Raphaely Rodrigues
Dantas, Diego de Sousa
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pereira, Silvana Alves
Rodrigues, Brenda de Andrade
Cunha, Lizailma Silva
Pereira, Alianny Raphaely Rodrigues
Dantas, Diego de Sousa
dc.subject.por.fl_str_mv Spatial analysis
Child mortality
Neonatal Intensive Care Units
Análise espacial
Mortalidade infantil
Unidades de Terapia Intensiva Neonatal
Terapia Intensiva Neonatal
Análise espacial
Taxa de Mortalidade Infantill
topic Spatial analysis
Child mortality
Neonatal Intensive Care Units
Análise espacial
Mortalidade infantil
Unidades de Terapia Intensiva Neonatal
Terapia Intensiva Neonatal
Análise espacial
Taxa de Mortalidade Infantill
description This study aimed at analyzing the spatial distribution of beds in the Neonatal Intensive Care Units (NICU) and correlating it with Live Birth Rate and Child Mortality Rate (CMR) in the Brazilian states. This is an ecological study involving the 27 Brazilian states, with data obtained from health information systems and analyzed using SPSS 20.0 and GeoDa 1.12. There was heterogeneity in the spatial distribution of CMR and NICU, with a higher concentration of NICU beds not belonging to the Unified Health System (SUS) in the Southeast Region and SUS beds in the Northeast Region. CMR showed a negative spatial correlation with the number of beds (Moran's I = - 0.323) in the states of Amazonas and Pará. An inverse relationship between the number of NICUs available and the mortality rate was observed only in two states, which reinforces the importance of further investigating other causes for infant mortality in other states in future studies.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por Pares
Artigo original
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8442
10.17765/2176-9206.2021v14n4e8442
url https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8442
identifier_str_mv 10.17765/2176-9206.2021v14n4e8442
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8442/6739
https://periodicos.unicesumar.edu.br/index.php/saudpesq/article/view/8442/6740
dc.rights.driver.fl_str_mv Copyright (c) 2021 Saúde e Pesquisa
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Saúde e Pesquisa
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Cesumar - UniCesumar
publisher.none.fl_str_mv Universidade Cesumar - UniCesumar
dc.source.none.fl_str_mv Saúde e Pesquisa; Vol 14 No 4 (2021): out./dez. ; 879-887
Saúde e Pesquisa; v. 14 n. 4 (2021): out./dez. ; 879-887
2176-9206
reponame:Saúde e Pesquisa (Online)
instname:Cesumar Diretoria de Pesquisa
instacron:CESUMAR
instname_str Cesumar Diretoria de Pesquisa
instacron_str CESUMAR
institution CESUMAR
reponame_str Saúde e Pesquisa (Online)
collection Saúde e Pesquisa (Online)
repository.name.fl_str_mv Saúde e Pesquisa (Online) - Cesumar Diretoria de Pesquisa
repository.mail.fl_str_mv naep@cesumar.br
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