Cargando…

Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data

INTRODUCTION: Maternal mortality remains high, especially in sub-Saharan Africa. Institutional delivery is one of the key intervention to reduce it. Despite service utilization reflects an interplay of demand- and supply-side factors, previous studies mainly focused on either sides due to methodolog...

Descripción completa

Detalles Bibliográficos
Autores principales: Bekele, Fanuel Belayneh, Shiferaw, Kasiye, Nega, Adiam, Derseh, Anagaw, Seme, Assefa, Shiferaw, Solomon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021680/
https://www.ncbi.nlm.nih.gov/pubmed/36962740
http://dx.doi.org/10.1371/journal.pgph.0000535
_version_ 1784908552393981952
author Bekele, Fanuel Belayneh
Shiferaw, Kasiye
Nega, Adiam
Derseh, Anagaw
Seme, Assefa
Shiferaw, Solomon
author_facet Bekele, Fanuel Belayneh
Shiferaw, Kasiye
Nega, Adiam
Derseh, Anagaw
Seme, Assefa
Shiferaw, Solomon
author_sort Bekele, Fanuel Belayneh
collection PubMed
description INTRODUCTION: Maternal mortality remains high, especially in sub-Saharan Africa. Institutional delivery is one of the key intervention to reduce it. Despite service utilization reflects an interplay of demand- and supply-side factors, previous studies mainly focused on either sides due to methodological challenges and data availability. But, a more comprehensive understanding can be obtained by assessing both sides. The aim of this study is to assess individual, household, community, and health facility factors associated with deliveryplace in Ethiopia. METHODS: We have used the 2019 Performance Monitoring for Action survey data set, which is a nationally representative sample of women linked with national sample of health facilities in Ethiopia. A total of 2547 women who recently delivered were linked with 170 health centers and 41 hospitals. Facility readiness index was calculated based on previous study conducted by Stierman EK on similar data set. We applied survey weights for descriptive statistics. Multilevel mixed-effects logistic regression was used to identify factors influencing delivery place. RESULTS: Coverage of institutional delivery was 54.49%. Women aged 20–34 [AOR; 0.55 (0.32–0.85)] compared with those younger than 20 years; those with no formal education [AOR: 0.19 (10.05–0.76)] or attended only primary school [AOR: 0.20 (0.05–0.75)] compared with those attended above secondary; and women whose partners didn’t encourage antinatal visit [AOR; 0.57 (0.33–0.98)] all have decreased odd of institutional delivery. Attending at least one antenatal visit [AOR: 3.09 (1.87–5.10)] and increased availability of medicines in the closest facility [AOR: 17.33 (1.32–26.4)] increase odds of institutional deliver. CONCLUSION: In Ethiopia, nearly half of the total deliveries take place outside health facilities. In addition to improving women’s education, utilization of antenatal care, and encouragement by partners, it is important to consider the availability of medicine and commodities in the nearby health facilities while designing and implementing programs to reduce home delivery.
format Online
Article
Text
id pubmed-10021680
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-100216802023-03-17 Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data Bekele, Fanuel Belayneh Shiferaw, Kasiye Nega, Adiam Derseh, Anagaw Seme, Assefa Shiferaw, Solomon PLOS Glob Public Health Research Article INTRODUCTION: Maternal mortality remains high, especially in sub-Saharan Africa. Institutional delivery is one of the key intervention to reduce it. Despite service utilization reflects an interplay of demand- and supply-side factors, previous studies mainly focused on either sides due to methodological challenges and data availability. But, a more comprehensive understanding can be obtained by assessing both sides. The aim of this study is to assess individual, household, community, and health facility factors associated with deliveryplace in Ethiopia. METHODS: We have used the 2019 Performance Monitoring for Action survey data set, which is a nationally representative sample of women linked with national sample of health facilities in Ethiopia. A total of 2547 women who recently delivered were linked with 170 health centers and 41 hospitals. Facility readiness index was calculated based on previous study conducted by Stierman EK on similar data set. We applied survey weights for descriptive statistics. Multilevel mixed-effects logistic regression was used to identify factors influencing delivery place. RESULTS: Coverage of institutional delivery was 54.49%. Women aged 20–34 [AOR; 0.55 (0.32–0.85)] compared with those younger than 20 years; those with no formal education [AOR: 0.19 (10.05–0.76)] or attended only primary school [AOR: 0.20 (0.05–0.75)] compared with those attended above secondary; and women whose partners didn’t encourage antinatal visit [AOR; 0.57 (0.33–0.98)] all have decreased odd of institutional delivery. Attending at least one antenatal visit [AOR: 3.09 (1.87–5.10)] and increased availability of medicines in the closest facility [AOR: 17.33 (1.32–26.4)] increase odds of institutional deliver. CONCLUSION: In Ethiopia, nearly half of the total deliveries take place outside health facilities. In addition to improving women’s education, utilization of antenatal care, and encouragement by partners, it is important to consider the availability of medicine and commodities in the nearby health facilities while designing and implementing programs to reduce home delivery. Public Library of Science 2022-09-01 /pmc/articles/PMC10021680/ /pubmed/36962740 http://dx.doi.org/10.1371/journal.pgph.0000535 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Bekele, Fanuel Belayneh
Shiferaw, Kasiye
Nega, Adiam
Derseh, Anagaw
Seme, Assefa
Shiferaw, Solomon
Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data
title Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data
title_full Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data
title_fullStr Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data
title_full_unstemmed Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data
title_short Factors influencing place of delivery in Ethiopia: Linking individual, household, and health facility-level data
title_sort factors influencing place of delivery in ethiopia: linking individual, household, and health facility-level data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021680/
https://www.ncbi.nlm.nih.gov/pubmed/36962740
http://dx.doi.org/10.1371/journal.pgph.0000535
work_keys_str_mv AT bekelefanuelbelayneh factorsinfluencingplaceofdeliveryinethiopialinkingindividualhouseholdandhealthfacilityleveldata
AT shiferawkasiye factorsinfluencingplaceofdeliveryinethiopialinkingindividualhouseholdandhealthfacilityleveldata
AT negaadiam factorsinfluencingplaceofdeliveryinethiopialinkingindividualhouseholdandhealthfacilityleveldata
AT dersehanagaw factorsinfluencingplaceofdeliveryinethiopialinkingindividualhouseholdandhealthfacilityleveldata
AT semeassefa factorsinfluencingplaceofdeliveryinethiopialinkingindividualhouseholdandhealthfacilityleveldata
AT shiferawsolomon factorsinfluencingplaceofdeliveryinethiopialinkingindividualhouseholdandhealthfacilityleveldata