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...

Full description

Bibliographic Details
Main Authors: Aytenew Gashaye, Getiye Dejenu Kibret, Yibelu Bazezew, Belayneh Mengist
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:International Journal of Africa Nursing Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214139121000548
id doaj-3bde8f1f71774fdb95e238eaf91fc6c5
record_format Article
spelling 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
work_keys_str_mv AT aytenewgashaye factorsaffectinginstitutionaldeliveryinethiopiaamultilevelanalysis
AT getiyedejenukibret factorsaffectinginstitutionaldeliveryinethiopiaamultilevelanalysis
AT yibelubazezew factorsaffectinginstitutionaldeliveryinethiopiaamultilevelanalysis
AT belaynehmengist factorsaffectinginstitutionaldeliveryinethiopiaamultilevelanalysis
_version_ 1721295350976741376