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Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis
BACKGROUND: Even though perinatal mortality has declined globally; it is still the major public health concern in sub-Saharan Africa countries. Ethiopia is one of the sub-Saharan countries which contribute the highest-burden of perinatal mortality with a devastating rate in some of the regions. Ther...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819877/ https://www.ncbi.nlm.nih.gov/pubmed/35130852 http://dx.doi.org/10.1186/s12889-022-12695-y |
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author | Girma, Desalegn Abita, Zinie Fetene, Gossa Birie, Bamlaku |
author_facet | Girma, Desalegn Abita, Zinie Fetene, Gossa Birie, Bamlaku |
author_sort | Girma, Desalegn |
collection | PubMed |
description | BACKGROUND: Even though perinatal mortality has declined globally; it is still the major public health concern in sub-Saharan Africa countries. Ethiopia is one of the sub-Saharan countries which contribute the highest-burden of perinatal mortality with a devastating rate in some of the regions. Therefore, this study aimed to identify the determinants of perinatal mortality in the high mortality regions of Ethiopia. METHOD: A secondary data analysis was done using the 2016 Ethiopian Demographic and Health Survey data. The outcomes of 4120 pregnancies reaching ≥ 7 months of gestational age were considered for the analysis. A multilevel mixed logistic regression model was fitted to identify the predictors of perinatal mortality. Finally, a statistically significant association was declared at a p-value of ≤ 0.05. RESULT: The study found that birth interval < 2 years (AOR = 3.71, 95%CI:2.27, 6.07),having no antenatal care (AOR = 2.43,95%CI:1.15,5.38), initiating breastfeeding after 1 h(AOR = 4.01,95%CI:2.49,6.51), being distant from health institutions (AOR = 1.99, 95%CI: 1.24, 3.22), having previous terminated pregnancy (AOR = 4.68, 95%CI:2.76,7.86), being mothers not autonomous(AOR = 1.96, 95%CI:1.19,3.20),being no media exposure (AOR = 2.78, 95%CI:1.48,5.59),being households ≤ 4 family sizes (AOR = 4.12, 95%CI:2.19,7.79), having ≥ 6 parity (AOR = 2.48, 95%CI:1.21, 5.22) were associated with a high odds of perinatal mortality. CONCLUSION: The study concludes that birth interval, antenatal care, time for breastfeeding initiation, distance from health institutions, previous history of terminated pregnancy, maternal autonomy, media exposure, family size, and parity were predictors of prenatal mortality. Therefore, programmatic emphases to maternal waiting service utilization for mothers distant from health institutions and media advertising regarding the complications related to pregnancy, childbirth and on its respective direction that the mothers should follow could reduce perinatal mortality in high mortality regions of Ethiopia. |
format | Online Article Text |
id | pubmed-8819877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88198772022-02-08 Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis Girma, Desalegn Abita, Zinie Fetene, Gossa Birie, Bamlaku BMC Public Health Research BACKGROUND: Even though perinatal mortality has declined globally; it is still the major public health concern in sub-Saharan Africa countries. Ethiopia is one of the sub-Saharan countries which contribute the highest-burden of perinatal mortality with a devastating rate in some of the regions. Therefore, this study aimed to identify the determinants of perinatal mortality in the high mortality regions of Ethiopia. METHOD: A secondary data analysis was done using the 2016 Ethiopian Demographic and Health Survey data. The outcomes of 4120 pregnancies reaching ≥ 7 months of gestational age were considered for the analysis. A multilevel mixed logistic regression model was fitted to identify the predictors of perinatal mortality. Finally, a statistically significant association was declared at a p-value of ≤ 0.05. RESULT: The study found that birth interval < 2 years (AOR = 3.71, 95%CI:2.27, 6.07),having no antenatal care (AOR = 2.43,95%CI:1.15,5.38), initiating breastfeeding after 1 h(AOR = 4.01,95%CI:2.49,6.51), being distant from health institutions (AOR = 1.99, 95%CI: 1.24, 3.22), having previous terminated pregnancy (AOR = 4.68, 95%CI:2.76,7.86), being mothers not autonomous(AOR = 1.96, 95%CI:1.19,3.20),being no media exposure (AOR = 2.78, 95%CI:1.48,5.59),being households ≤ 4 family sizes (AOR = 4.12, 95%CI:2.19,7.79), having ≥ 6 parity (AOR = 2.48, 95%CI:1.21, 5.22) were associated with a high odds of perinatal mortality. CONCLUSION: The study concludes that birth interval, antenatal care, time for breastfeeding initiation, distance from health institutions, previous history of terminated pregnancy, maternal autonomy, media exposure, family size, and parity were predictors of prenatal mortality. Therefore, programmatic emphases to maternal waiting service utilization for mothers distant from health institutions and media advertising regarding the complications related to pregnancy, childbirth and on its respective direction that the mothers should follow could reduce perinatal mortality in high mortality regions of Ethiopia. BioMed Central 2022-02-07 /pmc/articles/PMC8819877/ /pubmed/35130852 http://dx.doi.org/10.1186/s12889-022-12695-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Girma, Desalegn Abita, Zinie Fetene, Gossa Birie, Bamlaku Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis |
title | Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis |
title_full | Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis |
title_fullStr | Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis |
title_full_unstemmed | Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis |
title_short | Individual and community-level factors of perinatal mortality in the high mortality regions of Ethiopia: a multilevel mixed-effect analysis |
title_sort | individual and community-level factors of perinatal mortality in the high mortality regions of ethiopia: a multilevel mixed-effect analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819877/ https://www.ncbi.nlm.nih.gov/pubmed/35130852 http://dx.doi.org/10.1186/s12889-022-12695-y |
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