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Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data

BACKGROUND: In many low- and middle-income countries (LMICs), including Bangladesh, socioeconomic inequalities in access to maternity care remain a substantial public health concern. Due to the paucity of research, we attempted to determine the factors affecting the facility delivery, quantify wealt...

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Autores principales: Rahman, Md. Ashfikur, Kundu, Satyajit, Rashid, Harun Or, Shanto, Hasibul Hasan, Rahman, Md. Mahmudur, Khan, Bayezid, Howlader, Md. Hasan, Islam, Md. Akhtarul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704681/
https://www.ncbi.nlm.nih.gov/pubmed/36441796
http://dx.doi.org/10.1371/journal.pone.0278093
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author Rahman, Md. Ashfikur
Kundu, Satyajit
Rashid, Harun Or
Shanto, Hasibul Hasan
Rahman, Md. Mahmudur
Khan, Bayezid
Howlader, Md. Hasan
Islam, Md. Akhtarul
author_facet Rahman, Md. Ashfikur
Kundu, Satyajit
Rashid, Harun Or
Shanto, Hasibul Hasan
Rahman, Md. Mahmudur
Khan, Bayezid
Howlader, Md. Hasan
Islam, Md. Akhtarul
author_sort Rahman, Md. Ashfikur
collection PubMed
description BACKGROUND: In many low- and middle-income countries (LMICs), including Bangladesh, socioeconomic inequalities in access to maternity care remain a substantial public health concern. Due to the paucity of research, we attempted to determine the factors affecting the facility delivery, quantify wealth-related inequality, and identify potential components that could explain the inequality. METHODS: We used the latest Bangladesh Demographic and Health Survey (BDHS 2017–18) data in this study. We utilized logistic regression to investigate the associated factors of facility delivery. The concentration curves (CC), concentration index (CIX) and decomposition of CIX techniques were used to analyze the inequality in-facility delivery. RESULTS: Women living in the urban areas, age at first birth after (18–24 years ≥25 years), being overweight/obese, having secondary and higher-level education of the women and their husband, seeking four or more ANC, coming from more affluent households, and women with high enlightenment were significant determinants of facility delivery. The concentration curve was below the line of equality, and the relative concentration index (CIX) was 0.205 (p <0.001), indicating that women from wealthy groups were disproportionately more prevalent to facility delivery. The decomposition analysis reveals that wealth status of women (57.40%), age at first birth (10.24%), husband’s education (8.96%), husband’s occupation (7.35%), education of women (7.13%), women’s enlightenment (6.15%), residence (8.64%) and ANC visit (6.84%) are the most major contributors to the inequalities in utilizing facility delivery. CONCLUSION: The study demonstrates a clear disparity in the use of facility delivery among Bangladeshi women; hence, immediate action is required to lower the inequalities, with a special emphasis on the contributing factors.
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spelling pubmed-97046812022-11-29 Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data Rahman, Md. Ashfikur Kundu, Satyajit Rashid, Harun Or Shanto, Hasibul Hasan Rahman, Md. Mahmudur Khan, Bayezid Howlader, Md. Hasan Islam, Md. Akhtarul PLoS One Research Article BACKGROUND: In many low- and middle-income countries (LMICs), including Bangladesh, socioeconomic inequalities in access to maternity care remain a substantial public health concern. Due to the paucity of research, we attempted to determine the factors affecting the facility delivery, quantify wealth-related inequality, and identify potential components that could explain the inequality. METHODS: We used the latest Bangladesh Demographic and Health Survey (BDHS 2017–18) data in this study. We utilized logistic regression to investigate the associated factors of facility delivery. The concentration curves (CC), concentration index (CIX) and decomposition of CIX techniques were used to analyze the inequality in-facility delivery. RESULTS: Women living in the urban areas, age at first birth after (18–24 years ≥25 years), being overweight/obese, having secondary and higher-level education of the women and their husband, seeking four or more ANC, coming from more affluent households, and women with high enlightenment were significant determinants of facility delivery. The concentration curve was below the line of equality, and the relative concentration index (CIX) was 0.205 (p <0.001), indicating that women from wealthy groups were disproportionately more prevalent to facility delivery. The decomposition analysis reveals that wealth status of women (57.40%), age at first birth (10.24%), husband’s education (8.96%), husband’s occupation (7.35%), education of women (7.13%), women’s enlightenment (6.15%), residence (8.64%) and ANC visit (6.84%) are the most major contributors to the inequalities in utilizing facility delivery. CONCLUSION: The study demonstrates a clear disparity in the use of facility delivery among Bangladeshi women; hence, immediate action is required to lower the inequalities, with a special emphasis on the contributing factors. Public Library of Science 2022-11-28 /pmc/articles/PMC9704681/ /pubmed/36441796 http://dx.doi.org/10.1371/journal.pone.0278093 Text en © 2022 Rahman et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rahman, Md. Ashfikur
Kundu, Satyajit
Rashid, Harun Or
Shanto, Hasibul Hasan
Rahman, Md. Mahmudur
Khan, Bayezid
Howlader, Md. Hasan
Islam, Md. Akhtarul
Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data
title Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data
title_full Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data
title_fullStr Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data
title_full_unstemmed Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data
title_short Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017–2018 demographic and health survey data
title_sort socioeconomic inequalities in utilizing facility delivery in bangladesh: a decomposition analysis using nationwide 2017–2018 demographic and health survey data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704681/
https://www.ncbi.nlm.nih.gov/pubmed/36441796
http://dx.doi.org/10.1371/journal.pone.0278093
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