Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco

Detalhes bibliográficos
Autor(a) principal: Souza,Bruno Felipe Novaes de
Data de Publicação: 2021
Outros Autores: Sousa,Nayara Francisca Cabral de, Sette,Gabriela Cunha Schechtman, Lima,Ana Paula Esmeraldo, Leal,Luciana Pedrosa, Holanda,Eliane Rolim de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista da Escola de Enfermagem da USP (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342021000100457
Resumo: ABSTRACT Objective: To analyze the determinants associated with neonatal mortality in a municipality in the Zona da Mata of Pernambuco state. Method: Cross-sectional and analytical study, carried out in the city of Vitória de Santo Antão, Pernambuco. All child deaths reported by the municipality to the Brazilian Mortality Information System between 2011 and 2018 were analyzed. Data were categorized and organized in three dimensions to be subjected to descriptive, bivariate statistics and hierarchical Poisson regression with robust variance. Prevalence ratios were estimated, considering variables with p <0.05 as significant. Results: The determinants associated with neonatal death were: caesarean delivery (PR 0.83; 95% CI 0.75-0.92), birth in the city itself (PR 1.12; 95% CI 1.01-1.25), newborn brown and black race/skin color (PR 1.13; 95% CI 1.001.29), prematurity (PR 1.88; 95% CI 1.79-1.97), and Apgar score <7 in the fifth minute (PR 1.74; 95% CI 1.67-1.82). Conclusion: Biological characteristics such as brown and black race/skin color, prematurity, and Apgar score <7 in the 5th minute after birth, as well as access to health services, such as being born in the municipality itself and not being born by caesarean delivery, were determinants associated with neonatal mortality.
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spelling Determinants of neonatal mortality in a municipality of the Zona da Mata in PernambucoInfant MortalityRisk FactorsNeonatal NursingPediatric NursingInformation SystemsABSTRACT Objective: To analyze the determinants associated with neonatal mortality in a municipality in the Zona da Mata of Pernambuco state. Method: Cross-sectional and analytical study, carried out in the city of Vitória de Santo Antão, Pernambuco. All child deaths reported by the municipality to the Brazilian Mortality Information System between 2011 and 2018 were analyzed. Data were categorized and organized in three dimensions to be subjected to descriptive, bivariate statistics and hierarchical Poisson regression with robust variance. Prevalence ratios were estimated, considering variables with p <0.05 as significant. Results: The determinants associated with neonatal death were: caesarean delivery (PR 0.83; 95% CI 0.75-0.92), birth in the city itself (PR 1.12; 95% CI 1.01-1.25), newborn brown and black race/skin color (PR 1.13; 95% CI 1.001.29), prematurity (PR 1.88; 95% CI 1.79-1.97), and Apgar score <7 in the fifth minute (PR 1.74; 95% CI 1.67-1.82). Conclusion: Biological characteristics such as brown and black race/skin color, prematurity, and Apgar score <7 in the 5th minute after birth, as well as access to health services, such as being born in the municipality itself and not being born by caesarean delivery, were determinants associated with neonatal mortality.Universidade de São Paulo, Escola de Enfermagem2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342021000100457Revista da Escola de Enfermagem da USP v.55 2021reponame:Revista da Escola de Enfermagem da USP (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/s1980-220x2020015003726info:eu-repo/semantics/openAccessSouza,Bruno Felipe Novaes deSousa,Nayara Francisca Cabral deSette,Gabriela Cunha SchechtmanLima,Ana Paula EsmeraldoLeal,Luciana PedrosaHolanda,Eliane Rolim deeng2021-06-16T00:00:00Zoai:scielo:S0080-62342021000100457Revistahttp://www.scielo.br/reeuspPUBhttps://old.scielo.br/oai/scielo-oai.php||nursingscholar@usp.br1980-220X0080-6234opendoar:2021-06-16T00:00Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
title Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
spellingShingle Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
Souza,Bruno Felipe Novaes de
Infant Mortality
Risk Factors
Neonatal Nursing
Pediatric Nursing
Information Systems
title_short Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
title_full Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
title_fullStr Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
title_full_unstemmed Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
title_sort Determinants of neonatal mortality in a municipality of the Zona da Mata in Pernambuco
author Souza,Bruno Felipe Novaes de
author_facet Souza,Bruno Felipe Novaes de
Sousa,Nayara Francisca Cabral de
Sette,Gabriela Cunha Schechtman
Lima,Ana Paula Esmeraldo
Leal,Luciana Pedrosa
Holanda,Eliane Rolim de
author_role author
author2 Sousa,Nayara Francisca Cabral de
Sette,Gabriela Cunha Schechtman
Lima,Ana Paula Esmeraldo
Leal,Luciana Pedrosa
Holanda,Eliane Rolim de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Souza,Bruno Felipe Novaes de
Sousa,Nayara Francisca Cabral de
Sette,Gabriela Cunha Schechtman
Lima,Ana Paula Esmeraldo
Leal,Luciana Pedrosa
Holanda,Eliane Rolim de
dc.subject.por.fl_str_mv Infant Mortality
Risk Factors
Neonatal Nursing
Pediatric Nursing
Information Systems
topic Infant Mortality
Risk Factors
Neonatal Nursing
Pediatric Nursing
Information Systems
description ABSTRACT Objective: To analyze the determinants associated with neonatal mortality in a municipality in the Zona da Mata of Pernambuco state. Method: Cross-sectional and analytical study, carried out in the city of Vitória de Santo Antão, Pernambuco. All child deaths reported by the municipality to the Brazilian Mortality Information System between 2011 and 2018 were analyzed. Data were categorized and organized in three dimensions to be subjected to descriptive, bivariate statistics and hierarchical Poisson regression with robust variance. Prevalence ratios were estimated, considering variables with p <0.05 as significant. Results: The determinants associated with neonatal death were: caesarean delivery (PR 0.83; 95% CI 0.75-0.92), birth in the city itself (PR 1.12; 95% CI 1.01-1.25), newborn brown and black race/skin color (PR 1.13; 95% CI 1.001.29), prematurity (PR 1.88; 95% CI 1.79-1.97), and Apgar score <7 in the fifth minute (PR 1.74; 95% CI 1.67-1.82). Conclusion: Biological characteristics such as brown and black race/skin color, prematurity, and Apgar score <7 in the 5th minute after birth, as well as access to health services, such as being born in the municipality itself and not being born by caesarean delivery, were determinants associated with neonatal mortality.
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
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1980-220x2020015003726
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Universidade de São Paulo, Escola de Enfermagem
publisher.none.fl_str_mv Universidade de São Paulo, Escola de Enfermagem
dc.source.none.fl_str_mv Revista da Escola de Enfermagem da USP v.55 2021
reponame:Revista da Escola de Enfermagem da USP (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
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institution USP
reponame_str Revista da Escola de Enfermagem da USP (Online)
collection Revista da Escola de Enfermagem da USP (Online)
repository.name.fl_str_mv Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||nursingscholar@usp.br
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