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Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis

OBJECTIVES: Uptake of maternal health services remains suboptimal in Ethiopia. Significant proportions of antenatal care attendees give birth at home. This study was conducted to identify the predictors of non-institutional delivery among women who received antenatal care in the Southern Nations Nat...

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Autores principales: Asefa, Anteneh, Gebremedhin, Samson, Messele, Tamiru, Letamo, Yohannes, Shibru, Endashaw, Alano, Abraham, Morgan, Alison, Kermode, Michelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527994/
https://www.ncbi.nlm.nih.gov/pubmed/30898814
http://dx.doi.org/10.1136/bmjopen-2018-024783
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author Asefa, Anteneh
Gebremedhin, Samson
Messele, Tamiru
Letamo, Yohannes
Shibru, Endashaw
Alano, Abraham
Morgan, Alison
Kermode, Michelle
author_facet Asefa, Anteneh
Gebremedhin, Samson
Messele, Tamiru
Letamo, Yohannes
Shibru, Endashaw
Alano, Abraham
Morgan, Alison
Kermode, Michelle
author_sort Asefa, Anteneh
collection PubMed
description OBJECTIVES: Uptake of maternal health services remains suboptimal in Ethiopia. Significant proportions of antenatal care attendees give birth at home. This study was conducted to identify the predictors of non-institutional delivery among women who received antenatal care in the Southern Nations Nationalities and Peoples Region, Ethiopia. DESIGN: A community-based cross-sectional survey was conducted among women who delivered in the year preceding the survey and who had at least one antenatal visit. Multistage cluster sampling was deployed to select 2390 women from all administrative zones of the region. A mixed-effects multivariable logistic regression analysis was performed to assess the predictors of non-institutional delivery; adjusted ORs (AOR) with 95% CIs are reported. RESULTS: The proportion of non-institutional deliveries among participants was 62.2% (95% CI 60.2% to 64.2%). Previous experience of short and simple labour (46.9%) and uncomplicated home birth (42.9%), night-time labour (29.7%), absence of pregnancy-related problem (18.8%) and perceived providers poor reception of women (17.8%) were the main reasons to have non-institutional delivery. Attending secondary school and above (AOR=0.51; 95% CI 0.30 to 0.85), being a government employee (AOR=0.27; 95% CI 0.10 to 0.78) and woman’s autonomy in healthcare utilisation decision making (AOR=0.51; 95% CI 0.33 to 0.79) were among the independent predictors negatively associated with non-institutional delivery. On the other hand, unplanned pregnancy (AOR=1.67; 95% CI 1.16 to 2.42), not experiencing any health problem during pregnancy (AOR=8.1; 95% CI 3.12 to 24.62), not perceiving the risks associated with home delivery (AOR=6.64; 95% CI 4.35 to 10.14) were the independent predictors positively associated with non-institutional delivery. CONCLUSIONS: There is a missed opportunity among women attending antenatal care in southern Ethiopia. Further health system innovations that help to bridge the gap between antenatal care attendance and institutional delivery are highly recommended.
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spelling pubmed-65279942019-05-21 Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis Asefa, Anteneh Gebremedhin, Samson Messele, Tamiru Letamo, Yohannes Shibru, Endashaw Alano, Abraham Morgan, Alison Kermode, Michelle BMJ Open Public Health OBJECTIVES: Uptake of maternal health services remains suboptimal in Ethiopia. Significant proportions of antenatal care attendees give birth at home. This study was conducted to identify the predictors of non-institutional delivery among women who received antenatal care in the Southern Nations Nationalities and Peoples Region, Ethiopia. DESIGN: A community-based cross-sectional survey was conducted among women who delivered in the year preceding the survey and who had at least one antenatal visit. Multistage cluster sampling was deployed to select 2390 women from all administrative zones of the region. A mixed-effects multivariable logistic regression analysis was performed to assess the predictors of non-institutional delivery; adjusted ORs (AOR) with 95% CIs are reported. RESULTS: The proportion of non-institutional deliveries among participants was 62.2% (95% CI 60.2% to 64.2%). Previous experience of short and simple labour (46.9%) and uncomplicated home birth (42.9%), night-time labour (29.7%), absence of pregnancy-related problem (18.8%) and perceived providers poor reception of women (17.8%) were the main reasons to have non-institutional delivery. Attending secondary school and above (AOR=0.51; 95% CI 0.30 to 0.85), being a government employee (AOR=0.27; 95% CI 0.10 to 0.78) and woman’s autonomy in healthcare utilisation decision making (AOR=0.51; 95% CI 0.33 to 0.79) were among the independent predictors negatively associated with non-institutional delivery. On the other hand, unplanned pregnancy (AOR=1.67; 95% CI 1.16 to 2.42), not experiencing any health problem during pregnancy (AOR=8.1; 95% CI 3.12 to 24.62), not perceiving the risks associated with home delivery (AOR=6.64; 95% CI 4.35 to 10.14) were the independent predictors positively associated with non-institutional delivery. CONCLUSIONS: There is a missed opportunity among women attending antenatal care in southern Ethiopia. Further health system innovations that help to bridge the gap between antenatal care attendance and institutional delivery are highly recommended. BMJ Publishing Group 2019-03-20 /pmc/articles/PMC6527994/ /pubmed/30898814 http://dx.doi.org/10.1136/bmjopen-2018-024783 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Asefa, Anteneh
Gebremedhin, Samson
Messele, Tamiru
Letamo, Yohannes
Shibru, Endashaw
Alano, Abraham
Morgan, Alison
Kermode, Michelle
Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis
title Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis
title_full Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis
title_fullStr Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis
title_full_unstemmed Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis
title_short Mismatch between antenatal care attendance and institutional delivery in south Ethiopia: A multilevel analysis
title_sort mismatch between antenatal care attendance and institutional delivery in south ethiopia: a multilevel analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527994/
https://www.ncbi.nlm.nih.gov/pubmed/30898814
http://dx.doi.org/10.1136/bmjopen-2018-024783
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