Cargando…

Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data

OBJECTIVES: The prime objectives of the study were to measure the prevalence of facility delivery, assess socioeconomic inequalities and determine potential associated factors in the use of facility delivery in Bangladesh. Design Cross-sectional. SETTING: The study involved investigation of national...

Descripción completa

Detalles Bibliográficos
Autores principales: Rahman, Md Ashfikur, Sultana, Sumaya, Kundu, Satyajit, Islam, Md Akhtarul, Roshid, Harun Or, Khan, Zahidul Islam, Tohan, Mortuza, Jahan, Nusrat, Khan, Bayezid, Howlader, Md Hasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806084/
https://www.ncbi.nlm.nih.gov/pubmed/36581408
http://dx.doi.org/10.1136/bmjopen-2022-065674
_version_ 1784862458307936256
author Rahman, Md Ashfikur
Sultana, Sumaya
Kundu, Satyajit
Islam, Md Akhtarul
Roshid, Harun Or
Khan, Zahidul Islam
Tohan, Mortuza
Jahan, Nusrat
Khan, Bayezid
Howlader, Md Hasan
author_facet Rahman, Md Ashfikur
Sultana, Sumaya
Kundu, Satyajit
Islam, Md Akhtarul
Roshid, Harun Or
Khan, Zahidul Islam
Tohan, Mortuza
Jahan, Nusrat
Khan, Bayezid
Howlader, Md Hasan
author_sort Rahman, Md Ashfikur
collection PubMed
description OBJECTIVES: The prime objectives of the study were to measure the prevalence of facility delivery, assess socioeconomic inequalities and determine potential associated factors in the use of facility delivery in Bangladesh. Design Cross-sectional. SETTING: The study involved investigation of nationally representative secondary data from the Bangladesh Demographic and Health Survey between 2007 and 2017–2018. PARTICIPANTS: The participants of this study were 30 940 (weighted) Bangladeshi women between the ages of 15 and 49. METHODS: Decomposition analysis and multivariable logistic regression were both used to analyse data to achieve the study objectives. RESULTS: The prevalence of using facility delivery in Bangladesh has increased from 14.48% in 2007 to 49.26% in 2017–2018. The concentration index for facility delivery utilisation was 0.308 with respect to household wealth status (p<0.001), indicating that use of facility delivery was more concentrated among the rich group of people. Decomposition analysis also indicated that wealth quintiles (18.31%), mothers’ education (8.78%), place of residence (7.75%), birth order (5.56%), partners’ education (4.30%) and antenatal care (ANC) seeking (8.51%) were the major contributors to the prorich socioeconomic inequalities in the use of facility delivery. This study found that women from urban areas, were overweight, had any level of education, from wealthier families, had ANC, and whose partners had any level of education and involved in business were more likely to have facility births compared with their respective counterparts. CONCLUSIONS: This study found a prorich inequality in the use of facility delivery in Bangladesh. The socioeconomic disparities in facility delivery must be addressed if facility delivery usage is to increase in Bangladesh.
format Online
Article
Text
id pubmed-9806084
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-98060842023-01-03 Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data Rahman, Md Ashfikur Sultana, Sumaya Kundu, Satyajit Islam, Md Akhtarul Roshid, Harun Or Khan, Zahidul Islam Tohan, Mortuza Jahan, Nusrat Khan, Bayezid Howlader, Md Hasan BMJ Open Health Services Research OBJECTIVES: The prime objectives of the study were to measure the prevalence of facility delivery, assess socioeconomic inequalities and determine potential associated factors in the use of facility delivery in Bangladesh. Design Cross-sectional. SETTING: The study involved investigation of nationally representative secondary data from the Bangladesh Demographic and Health Survey between 2007 and 2017–2018. PARTICIPANTS: The participants of this study were 30 940 (weighted) Bangladeshi women between the ages of 15 and 49. METHODS: Decomposition analysis and multivariable logistic regression were both used to analyse data to achieve the study objectives. RESULTS: The prevalence of using facility delivery in Bangladesh has increased from 14.48% in 2007 to 49.26% in 2017–2018. The concentration index for facility delivery utilisation was 0.308 with respect to household wealth status (p<0.001), indicating that use of facility delivery was more concentrated among the rich group of people. Decomposition analysis also indicated that wealth quintiles (18.31%), mothers’ education (8.78%), place of residence (7.75%), birth order (5.56%), partners’ education (4.30%) and antenatal care (ANC) seeking (8.51%) were the major contributors to the prorich socioeconomic inequalities in the use of facility delivery. This study found that women from urban areas, were overweight, had any level of education, from wealthier families, had ANC, and whose partners had any level of education and involved in business were more likely to have facility births compared with their respective counterparts. CONCLUSIONS: This study found a prorich inequality in the use of facility delivery in Bangladesh. The socioeconomic disparities in facility delivery must be addressed if facility delivery usage is to increase in Bangladesh. BMJ Publishing Group 2022-12-29 /pmc/articles/PMC9806084/ /pubmed/36581408 http://dx.doi.org/10.1136/bmjopen-2022-065674 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Services Research
Rahman, Md Ashfikur
Sultana, Sumaya
Kundu, Satyajit
Islam, Md Akhtarul
Roshid, Harun Or
Khan, Zahidul Islam
Tohan, Mortuza
Jahan, Nusrat
Khan, Bayezid
Howlader, Md Hasan
Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data
title Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data
title_full Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data
title_fullStr Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data
title_full_unstemmed Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data
title_short Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data
title_sort trends and patterns of inequalities in using facility delivery among reproductive-age women in bangladesh: a decomposition analysis of 2007–2017 demographic and health survey data
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806084/
https://www.ncbi.nlm.nih.gov/pubmed/36581408
http://dx.doi.org/10.1136/bmjopen-2022-065674
work_keys_str_mv AT rahmanmdashfikur trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT sultanasumaya trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT kundusatyajit trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT islammdakhtarul trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT roshidharunor trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT khanzahidulislam trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT tohanmortuza trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT jahannusrat trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT khanbayezid trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata
AT howladermdhasan trendsandpatternsofinequalitiesinusingfacilitydeliveryamongreproductiveagewomeninbangladeshadecompositionanalysisof20072017demographicandhealthsurveydata