Factors affecting institutional delivery in Ethiopia: A multi-level analysis
Background: Childbirth is a complex process that requires the safest care to prevent maternal and neonatal complications. The proportion of births occurring at health institutions in Ethiopia is still below expected (26%), which significantly contribute to a large number of maternal deaths. Hence, i...
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2021-01-01
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doaj-3bde8f1f71774fdb95e238eaf91fc6c52021-07-19T04:10:00ZengElsevierInternational Journal of Africa Nursing Sciences2214-13912021-01-0115100331Factors affecting institutional delivery in Ethiopia: A multi-level analysisAytenew Gashaye0Getiye Dejenu Kibret1Yibelu Bazezew2Belayneh Mengist3Ethiopian Public Health Institute, Addis Ababa, EthiopiaDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, EthiopiaDepartment of Midwifery, College of Health Sciences, Debre Markos University, Debre Markos, EthiopiaDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; Department of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; Corresponding author.Background: Childbirth is a complex process that requires the safest care to prevent maternal and neonatal complications. The proportion of births occurring at health institutions in Ethiopia is still below expected (26%), which significantly contribute to a large number of maternal deaths. Hence, identifying factors affecting institutional delivery is crucial. Objectives: The main objective of this study was to assess factors affecting institutional delivery among women who had a live birth in Ethiopia within five years preceding Ethiopian Demographic and Health Survey 2016. Method: The 2016 Ethiopian demographic and health survey data were used to identify factors associated with institutional delivery. As the data has nested structure, a multilevel logistic regression model was used for analysis by taking a nationally representative sample of 7193 women nested within 645 clusters. Result: A significant heterogeneity was observed between clusters for institutional delivery which explains about 53.5% of the total variation. Individual-level variables: higher-level women education (AOR = 5.74; 95% CI 2.7–9.73), parity 5, and more (AOR = 0.39; 95% CI 0.32–0.49) and the number of ANC visit four and greater visit (AOR = 6.74; 95% CI 4.11–11.04) were significantly associated with institutional delivery. Community-level variables, Community media exposure (AOR = 1.80; 95% CI 1.31–2.4) and community antenatal coverage (AOR = 1.97; 95% CI 1.18–3.30) had a significant effect on institutional delivery. Conclusion: The effort to promote institutional delivery should pay special attention to multiparous and less educated women.http://www.sciencedirect.com/science/article/pii/S2214139121000548Institutional deliveryMultilevel analysisEthiopia |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aytenew Gashaye Getiye Dejenu Kibret Yibelu Bazezew Belayneh Mengist |
spellingShingle |
Aytenew Gashaye Getiye Dejenu Kibret Yibelu Bazezew Belayneh Mengist Factors affecting institutional delivery in Ethiopia: A multi-level analysis International Journal of Africa Nursing Sciences Institutional delivery Multilevel analysis Ethiopia |
author_facet |
Aytenew Gashaye Getiye Dejenu Kibret Yibelu Bazezew Belayneh Mengist |
author_sort |
Aytenew Gashaye |
title |
Factors affecting institutional delivery in Ethiopia: A multi-level analysis |
title_short |
Factors affecting institutional delivery in Ethiopia: A multi-level analysis |
title_full |
Factors affecting institutional delivery in Ethiopia: A multi-level analysis |
title_fullStr |
Factors affecting institutional delivery in Ethiopia: A multi-level analysis |
title_full_unstemmed |
Factors affecting institutional delivery in Ethiopia: A multi-level analysis |
title_sort |
factors affecting institutional delivery in ethiopia: a multi-level analysis |
publisher |
Elsevier |
series |
International Journal of Africa Nursing Sciences |
issn |
2214-1391 |
publishDate |
2021-01-01 |
description |
Background: Childbirth is a complex process that requires the safest care to prevent maternal and neonatal complications. The proportion of births occurring at health institutions in Ethiopia is still below expected (26%), which significantly contribute to a large number of maternal deaths. Hence, identifying factors affecting institutional delivery is crucial. Objectives: The main objective of this study was to assess factors affecting institutional delivery among women who had a live birth in Ethiopia within five years preceding Ethiopian Demographic and Health Survey 2016. Method: The 2016 Ethiopian demographic and health survey data were used to identify factors associated with institutional delivery. As the data has nested structure, a multilevel logistic regression model was used for analysis by taking a nationally representative sample of 7193 women nested within 645 clusters. Result: A significant heterogeneity was observed between clusters for institutional delivery which explains about 53.5% of the total variation. Individual-level variables: higher-level women education (AOR = 5.74; 95% CI 2.7–9.73), parity 5, and more (AOR = 0.39; 95% CI 0.32–0.49) and the number of ANC visit four and greater visit (AOR = 6.74; 95% CI 4.11–11.04) were significantly associated with institutional delivery. Community-level variables, Community media exposure (AOR = 1.80; 95% CI 1.31–2.4) and community antenatal coverage (AOR = 1.97; 95% CI 1.18–3.30) had a significant effect on institutional delivery. Conclusion: The effort to promote institutional delivery should pay special attention to multiparous and less educated women. |
topic |
Institutional delivery Multilevel analysis Ethiopia |
url |
http://www.sciencedirect.com/science/article/pii/S2214139121000548 |
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