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Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades

BACKGROUND: Maternal and neonatal mortality is a major public health concern globally. Evidence supports that skilled birth attendants (SBA) can significantly reduce maternal and neonatal mortality. Despite the improvement in SBA use, Bangladesh lacks evidence of equality in SBA use across socioecon...

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Autores principales: Chowdhury, Syed Sharaf Ahmed, Kundu, Satyajit, Sharif, Azaz Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251570/
https://www.ncbi.nlm.nih.gov/pubmed/37296394
http://dx.doi.org/10.1186/s12884-023-05754-8
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author Chowdhury, Syed Sharaf Ahmed
Kundu, Satyajit
Sharif, Azaz Bin
author_facet Chowdhury, Syed Sharaf Ahmed
Kundu, Satyajit
Sharif, Azaz Bin
author_sort Chowdhury, Syed Sharaf Ahmed
collection PubMed
description BACKGROUND: Maternal and neonatal mortality is a major public health concern globally. Evidence supports that skilled birth attendants (SBA) can significantly reduce maternal and neonatal mortality. Despite the improvement in SBA use, Bangladesh lacks evidence of equality in SBA use across socioeconomic and geographic regions. Therefore, we aim to estimate the trends and magnitude of inequality in SBA use in Bangladesh over the last two decades. METHODS: Data from the last 5 rounds of Bangladesh Demographic and Health Surveys (BDHS; 2017-18, 2014, 2011, 2007, and 2004) were used to measure the inequalities in the SBA use utilizing the WHO’s Health Equity Assessment Toolkit (HEAT) software. Inequality was assessed by four summary measures, namely, Population Attributable Risk (PAR), Population Attributable Fraction (PAF), Difference (D), and Ratio (R) based on the four equity dimensions: wealth status, education level, place of residence, and subnational regions (divisions). Point estimates and a 95% confidence interval (CI) were reported for each measure. RESULTS: An increasing trend in the overall prevalence of SBA use was observed (From 15.6% in 2004 to 52.9% in 2017). We found significant inequalities in SBA use in every wave of BDHS (from 2004 to 2017), with the result concentrating on the rich (in 2017, PAF: 57.1; 95% CI: 52.5–61.7), educated (in 2017, PAR: 9.9; 95% CI: 5.2–14.5),  and people from urban areas (in 2017, PAF: 28.0; 95% CI: 26.4–29.5). We also identified geographic disparities in SBA use favoring Khulna and Dhaka divisions (in 2017, PAR: 10.2; 95% CI: 5.7–14.7). Our study also observed inequality in using SBA among Bangladeshi women decreased over time. CONCLUSION: To increase SBA use and to decrease inequality in all four equity dimensions, disadvantaged sub-groups should be prioritized in policies and planning for program implementation.
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spelling pubmed-102515702023-06-10 Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades Chowdhury, Syed Sharaf Ahmed Kundu, Satyajit Sharif, Azaz Bin BMC Pregnancy Childbirth Research BACKGROUND: Maternal and neonatal mortality is a major public health concern globally. Evidence supports that skilled birth attendants (SBA) can significantly reduce maternal and neonatal mortality. Despite the improvement in SBA use, Bangladesh lacks evidence of equality in SBA use across socioeconomic and geographic regions. Therefore, we aim to estimate the trends and magnitude of inequality in SBA use in Bangladesh over the last two decades. METHODS: Data from the last 5 rounds of Bangladesh Demographic and Health Surveys (BDHS; 2017-18, 2014, 2011, 2007, and 2004) were used to measure the inequalities in the SBA use utilizing the WHO’s Health Equity Assessment Toolkit (HEAT) software. Inequality was assessed by four summary measures, namely, Population Attributable Risk (PAR), Population Attributable Fraction (PAF), Difference (D), and Ratio (R) based on the four equity dimensions: wealth status, education level, place of residence, and subnational regions (divisions). Point estimates and a 95% confidence interval (CI) were reported for each measure. RESULTS: An increasing trend in the overall prevalence of SBA use was observed (From 15.6% in 2004 to 52.9% in 2017). We found significant inequalities in SBA use in every wave of BDHS (from 2004 to 2017), with the result concentrating on the rich (in 2017, PAF: 57.1; 95% CI: 52.5–61.7), educated (in 2017, PAR: 9.9; 95% CI: 5.2–14.5),  and people from urban areas (in 2017, PAF: 28.0; 95% CI: 26.4–29.5). We also identified geographic disparities in SBA use favoring Khulna and Dhaka divisions (in 2017, PAR: 10.2; 95% CI: 5.7–14.7). Our study also observed inequality in using SBA among Bangladeshi women decreased over time. CONCLUSION: To increase SBA use and to decrease inequality in all four equity dimensions, disadvantaged sub-groups should be prioritized in policies and planning for program implementation. BioMed Central 2023-06-09 /pmc/articles/PMC10251570/ /pubmed/37296394 http://dx.doi.org/10.1186/s12884-023-05754-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chowdhury, Syed Sharaf Ahmed
Kundu, Satyajit
Sharif, Azaz Bin
Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades
title Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades
title_full Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades
title_fullStr Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades
title_full_unstemmed Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades
title_short Socioeconomic and geographical inequalities in using skilled birth attendants during delivery in Bangladesh over two decades
title_sort socioeconomic and geographical inequalities in using skilled birth attendants during delivery in bangladesh over two decades
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251570/
https://www.ncbi.nlm.nih.gov/pubmed/37296394
http://dx.doi.org/10.1186/s12884-023-05754-8
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