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Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study

BACKGROUND: Perinatal mortality is one of the serious challenges in meeting maternal and child Millennium Development Goals in developing countries. Identifying its predictors is an important step to develop focused and appropriate health interventions for reducing perinatal deaths. This study there...

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Autores principales: Andargie, Gashaw, Berhane, Yemane, Worku, Alemayehu, Kebede, Yigzaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599850/
https://www.ncbi.nlm.nih.gov/pubmed/23433304
http://dx.doi.org/10.1186/1471-2458-13-168
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author Andargie, Gashaw
Berhane, Yemane
Worku, Alemayehu
Kebede, Yigzaw
author_facet Andargie, Gashaw
Berhane, Yemane
Worku, Alemayehu
Kebede, Yigzaw
author_sort Andargie, Gashaw
collection PubMed
description BACKGROUND: Perinatal mortality is one of the serious challenges in meeting maternal and child Millennium Development Goals in developing countries. Identifying its predictors is an important step to develop focused and appropriate health interventions for reducing perinatal deaths. This study therefore aims at identifying predictors of perinatal mortality in a rural setting in northwest Ethiopia. METHODS: A prospective longitudinal study was conducted at Dabat Health and Demographic Surveillance site, northwest Ethiopia, from November 2009 to August 2011. Data were collected by interviewing the mothers or guardians of eligible children. Multiple logistic regressions were employed to identify potential predictors. RESULTS: A total of 1752 eligible children were included in the study. Perinatal mortality rate in the study population was 50.22 per 1000 (95% CI: 39.99, 60.46) total births. In multiple logistic analysis, previous still birth [(AOR = 8.38, 95% CI: 3.94, 17.83)], twin birth [(AOR = 7.09, 95% CI: (3.22, 15.61)], not receiving tetanus toxoid vaccine during the index pregnancy [(AOR = 3.62, 95% CI: 1.57, 8.34)], short birth interval of less than 24 months [(AOR = 2.58, 95% CI: (1.61, 4.13)], maternal illiteracy [(AOR = 4.83, 95% CI: (1.45, 16.05)] and mothers’ running own business [(AOR = 5.40, 95% CI: 1.40, 27.96)] were the main predictors associated with increased risk of perinatal death. CONCLUSIONS: Predictors of perinatal death in the study area are easily recognizable and potentially preventable with the existing maternal health programs. Efforts need to be intensified in expanding maternal and newborn health services to significantly reduce perinatal mortality in rural settings.
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spelling pubmed-35998502013-03-17 Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study Andargie, Gashaw Berhane, Yemane Worku, Alemayehu Kebede, Yigzaw BMC Public Health Research Article BACKGROUND: Perinatal mortality is one of the serious challenges in meeting maternal and child Millennium Development Goals in developing countries. Identifying its predictors is an important step to develop focused and appropriate health interventions for reducing perinatal deaths. This study therefore aims at identifying predictors of perinatal mortality in a rural setting in northwest Ethiopia. METHODS: A prospective longitudinal study was conducted at Dabat Health and Demographic Surveillance site, northwest Ethiopia, from November 2009 to August 2011. Data were collected by interviewing the mothers or guardians of eligible children. Multiple logistic regressions were employed to identify potential predictors. RESULTS: A total of 1752 eligible children were included in the study. Perinatal mortality rate in the study population was 50.22 per 1000 (95% CI: 39.99, 60.46) total births. In multiple logistic analysis, previous still birth [(AOR = 8.38, 95% CI: 3.94, 17.83)], twin birth [(AOR = 7.09, 95% CI: (3.22, 15.61)], not receiving tetanus toxoid vaccine during the index pregnancy [(AOR = 3.62, 95% CI: 1.57, 8.34)], short birth interval of less than 24 months [(AOR = 2.58, 95% CI: (1.61, 4.13)], maternal illiteracy [(AOR = 4.83, 95% CI: (1.45, 16.05)] and mothers’ running own business [(AOR = 5.40, 95% CI: 1.40, 27.96)] were the main predictors associated with increased risk of perinatal death. CONCLUSIONS: Predictors of perinatal death in the study area are easily recognizable and potentially preventable with the existing maternal health programs. Efforts need to be intensified in expanding maternal and newborn health services to significantly reduce perinatal mortality in rural settings. BioMed Central 2013-02-23 /pmc/articles/PMC3599850/ /pubmed/23433304 http://dx.doi.org/10.1186/1471-2458-13-168 Text en Copyright ©2013 Andargie et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Andargie, Gashaw
Berhane, Yemane
Worku, Alemayehu
Kebede, Yigzaw
Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study
title Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study
title_full Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study
title_fullStr Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study
title_full_unstemmed Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study
title_short Predictors of perinatal mortality in rural population of Northwest Ethiopia: a prospective longitudinal study
title_sort predictors of perinatal mortality in rural population of northwest ethiopia: a prospective longitudinal study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599850/
https://www.ncbi.nlm.nih.gov/pubmed/23433304
http://dx.doi.org/10.1186/1471-2458-13-168
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