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Trends and determinants of perinatal mortality in Bangladesh

BACKGROUND: Although the perinatal mortality rate (PNMR) has been reduced over time in Bangladesh, the rate is still very high. Only a few studies explored the determinants of high PNMR in Bangladesh, yet most of them were small-scale or conducted for stillbirths and early neonatal deaths separately...

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Autores principales: Hossain, Md. Belal, Kanti Mistry, Sabuj, Mohsin, Md, Rahaman Khan, Md Hasinur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707592/
https://www.ncbi.nlm.nih.gov/pubmed/31442258
http://dx.doi.org/10.1371/journal.pone.0221503
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author Hossain, Md. Belal
Kanti Mistry, Sabuj
Mohsin, Md
Rahaman Khan, Md Hasinur
author_facet Hossain, Md. Belal
Kanti Mistry, Sabuj
Mohsin, Md
Rahaman Khan, Md Hasinur
author_sort Hossain, Md. Belal
collection PubMed
description BACKGROUND: Although the perinatal mortality rate (PNMR) has been reduced over time in Bangladesh, the rate is still very high. Only a few studies explored the determinants of high PNMR in Bangladesh, yet most of them were small-scale or conducted for stillbirths and early neonatal deaths separately. The objective of this study was to explore the trends in and determinants of perinatal deaths in Bangladesh which would be an advanced step in effective policies to tackle the issue. METHODS: The data used for this study was extracted from four rounds of Bangladesh Demographic and Health Surveys (BDHSs) 2004, 2007, 2011 and 2014. We considered the outcome of the 26604 pregnancies reaching seven months of their gestation. The trends of perinatal mortality was assessed using the Cochran–Armitage test, while the logistic regression with generalized estimating equation (GEE) to account for the clustering effect was implemented to explore the association between perinatal mortality and its risk factors. RESULTS: The PNMR was significantly reduced from 64 (95% CI: 57–73) to 41 (95% CI: 35–48) per 1000 pregnancies between 2004 and 2014 (stillbirths: 34 to 19 and early neonatal deaths: 30 to 22). After adjusting for potential covariates in the model, we found that administrative division, type of cooking fuel, child’s gender, maternal occupation, body mass index, birth interval, history of miscarriage, previous deaths of children, total number of under 5 children, mode of delivery, type of delivery, access to participation in decision making, paternal education and occupation were significantly associated with perinatal deaths. CONCLUSION: The study highlights the importance of strengthening proper postnatal care services in the healthcare facilities. Alongside this, effort should also be stressed to ensure proper pregnancy care and to improve the socio-economic condition of the households to address the issue.
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spelling pubmed-67075922019-09-04 Trends and determinants of perinatal mortality in Bangladesh Hossain, Md. Belal Kanti Mistry, Sabuj Mohsin, Md Rahaman Khan, Md Hasinur PLoS One Research Article BACKGROUND: Although the perinatal mortality rate (PNMR) has been reduced over time in Bangladesh, the rate is still very high. Only a few studies explored the determinants of high PNMR in Bangladesh, yet most of them were small-scale or conducted for stillbirths and early neonatal deaths separately. The objective of this study was to explore the trends in and determinants of perinatal deaths in Bangladesh which would be an advanced step in effective policies to tackle the issue. METHODS: The data used for this study was extracted from four rounds of Bangladesh Demographic and Health Surveys (BDHSs) 2004, 2007, 2011 and 2014. We considered the outcome of the 26604 pregnancies reaching seven months of their gestation. The trends of perinatal mortality was assessed using the Cochran–Armitage test, while the logistic regression with generalized estimating equation (GEE) to account for the clustering effect was implemented to explore the association between perinatal mortality and its risk factors. RESULTS: The PNMR was significantly reduced from 64 (95% CI: 57–73) to 41 (95% CI: 35–48) per 1000 pregnancies between 2004 and 2014 (stillbirths: 34 to 19 and early neonatal deaths: 30 to 22). After adjusting for potential covariates in the model, we found that administrative division, type of cooking fuel, child’s gender, maternal occupation, body mass index, birth interval, history of miscarriage, previous deaths of children, total number of under 5 children, mode of delivery, type of delivery, access to participation in decision making, paternal education and occupation were significantly associated with perinatal deaths. CONCLUSION: The study highlights the importance of strengthening proper postnatal care services in the healthcare facilities. Alongside this, effort should also be stressed to ensure proper pregnancy care and to improve the socio-economic condition of the households to address the issue. Public Library of Science 2019-08-23 /pmc/articles/PMC6707592/ /pubmed/31442258 http://dx.doi.org/10.1371/journal.pone.0221503 Text en © 2019 Hossain et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hossain, Md. Belal
Kanti Mistry, Sabuj
Mohsin, Md
Rahaman Khan, Md Hasinur
Trends and determinants of perinatal mortality in Bangladesh
title Trends and determinants of perinatal mortality in Bangladesh
title_full Trends and determinants of perinatal mortality in Bangladesh
title_fullStr Trends and determinants of perinatal mortality in Bangladesh
title_full_unstemmed Trends and determinants of perinatal mortality in Bangladesh
title_short Trends and determinants of perinatal mortality in Bangladesh
title_sort trends and determinants of perinatal mortality in bangladesh
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707592/
https://www.ncbi.nlm.nih.gov/pubmed/31442258
http://dx.doi.org/10.1371/journal.pone.0221503
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