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Determinants of neonatal mortality in the largest international border of Brazil: a case-control study

BACKGROUND: Foz do Iguassu is a Brazilian municipality located in the most populous international border of the country and provides medical care to foreigners. Neonatal mortality in the city is higher than Brazil’s average and corresponds to 61% of all deaths in children under five. The current stu...

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Autores principales: de Souza, Suzana, Duim, Etienne, Nampo, Fernando Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796356/
https://www.ncbi.nlm.nih.gov/pubmed/31619198
http://dx.doi.org/10.1186/s12889-019-7638-8
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author de Souza, Suzana
Duim, Etienne
Nampo, Fernando Kenji
author_facet de Souza, Suzana
Duim, Etienne
Nampo, Fernando Kenji
author_sort de Souza, Suzana
collection PubMed
description BACKGROUND: Foz do Iguassu is a Brazilian municipality located in the most populous international border of the country and provides medical care to foreigners. Neonatal mortality in the city is higher than Brazil’s average and corresponds to 61% of all deaths in children under five. The current study aimed to identify the determinants of neonatal mortality in Foz do Iguassu. METHODS: In this case-control study, we analyzed all neonatal deaths occurred in Foz do Iguassu from 2012 to 2016. Birth and mortality data were extracted from two national governmental databases (SINASC and SIM). We extracted data on (i) maternal sociodemographic characteristics, (ii) pregnancy care, and (iii) newborn characteristics. Multiple logistic regression with the conceptual framework was applied to examine the factors associated with neonatal mortality. RESULTS: Most of the deaths occurred in the early neonatal period (65.9%). The factors associated with neonatal death were fetal congenital anomaly (OR 22.49; CI 95% 7.44–67.95; p = < 0.001); low birth weight (OR 17.15; CI 95% 8.56–34.37; p = < 0.001), first minute Apgar score under 7 (OR 15.60; CI 95% 8.23–29.67; p = < 0.001); zero to 3 prenatal appointments (OR 3.34; CI 95% 1.28–8.73; p = 0.014) and prematurity (OR 3.60; CI 95% 1.87–7.11; p = < 0.001). CONCLUSION: The high rate of neonatal death in Foz do Iguassu is strongly associated with newborn characteristics and not associated with maternal sociodemographic characteristics. Thus, the health services in the Brazilian side of this international borders should be aware of the quality of the prenatal care and childbirth attention provided.
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spelling pubmed-67963562019-10-21 Determinants of neonatal mortality in the largest international border of Brazil: a case-control study de Souza, Suzana Duim, Etienne Nampo, Fernando Kenji BMC Public Health Research Article BACKGROUND: Foz do Iguassu is a Brazilian municipality located in the most populous international border of the country and provides medical care to foreigners. Neonatal mortality in the city is higher than Brazil’s average and corresponds to 61% of all deaths in children under five. The current study aimed to identify the determinants of neonatal mortality in Foz do Iguassu. METHODS: In this case-control study, we analyzed all neonatal deaths occurred in Foz do Iguassu from 2012 to 2016. Birth and mortality data were extracted from two national governmental databases (SINASC and SIM). We extracted data on (i) maternal sociodemographic characteristics, (ii) pregnancy care, and (iii) newborn characteristics. Multiple logistic regression with the conceptual framework was applied to examine the factors associated with neonatal mortality. RESULTS: Most of the deaths occurred in the early neonatal period (65.9%). The factors associated with neonatal death were fetal congenital anomaly (OR 22.49; CI 95% 7.44–67.95; p = < 0.001); low birth weight (OR 17.15; CI 95% 8.56–34.37; p = < 0.001), first minute Apgar score under 7 (OR 15.60; CI 95% 8.23–29.67; p = < 0.001); zero to 3 prenatal appointments (OR 3.34; CI 95% 1.28–8.73; p = 0.014) and prematurity (OR 3.60; CI 95% 1.87–7.11; p = < 0.001). CONCLUSION: The high rate of neonatal death in Foz do Iguassu is strongly associated with newborn characteristics and not associated with maternal sociodemographic characteristics. Thus, the health services in the Brazilian side of this international borders should be aware of the quality of the prenatal care and childbirth attention provided. BioMed Central 2019-10-16 /pmc/articles/PMC6796356/ /pubmed/31619198 http://dx.doi.org/10.1186/s12889-019-7638-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
de Souza, Suzana
Duim, Etienne
Nampo, Fernando Kenji
Determinants of neonatal mortality in the largest international border of Brazil: a case-control study
title Determinants of neonatal mortality in the largest international border of Brazil: a case-control study
title_full Determinants of neonatal mortality in the largest international border of Brazil: a case-control study
title_fullStr Determinants of neonatal mortality in the largest international border of Brazil: a case-control study
title_full_unstemmed Determinants of neonatal mortality in the largest international border of Brazil: a case-control study
title_short Determinants of neonatal mortality in the largest international border of Brazil: a case-control study
title_sort determinants of neonatal mortality in the largest international border of brazil: a case-control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796356/
https://www.ncbi.nlm.nih.gov/pubmed/31619198
http://dx.doi.org/10.1186/s12889-019-7638-8
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