Cargando…

Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018

BACKGROUND: Although Bangladesh has gained rapid improvement in births at health facilities, yet far behind to achieve the SDG target. Assessing the contribution of factors in increased use of delivery at facilities are important to demonstrate. OBJECTIVE: To explore the determinants and their contr...

Descripción completa

Detalles Bibliográficos
Autores principales: Rana, Md Sohel, Billah, Sk Masum, Moinuddin, Mohammed, Bakkar Siddique, Md Abu, Khan, Md Mobarak Hossain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189511/
https://www.ncbi.nlm.nih.gov/pubmed/37206020
http://dx.doi.org/10.1016/j.heliyon.2023.e15875
_version_ 1785043104163692544
author Rana, Md Sohel
Billah, Sk Masum
Moinuddin, Mohammed
Bakkar Siddique, Md Abu
Khan, Md Mobarak Hossain
author_facet Rana, Md Sohel
Billah, Sk Masum
Moinuddin, Mohammed
Bakkar Siddique, Md Abu
Khan, Md Mobarak Hossain
author_sort Rana, Md Sohel
collection PubMed
description BACKGROUND: Although Bangladesh has gained rapid improvement in births at health facilities, yet far behind to achieve the SDG target. Assessing the contribution of factors in increased use of delivery at facilities are important to demonstrate. OBJECTIVE: To explore the determinants and their contribution in explaining increased use of facility child births in Bangladesh. PARTICIPANTS: Reproductive-aged women (15–49 years) of Bangladesh. METHODS AND MATERIALS: We used the latest five rounds (2004, 2007, 2011, 2014, 2017–2018) of Bangladesh Demographic and Health Surveys (BDHSs). The regression based classical decomposition approach has been used to explore the determinants and their contribution in explaining the increased use of facility child birth. RESULTS: A sample of 26,686 reproductive-aged women were included in the analysis, 32.90% (8780) from the urban and 67.10% (17,906) from the rural area. We observed a 2.4-fold increase in delivery at facilities from 2004 to 2017–2018, in rural areas it is more than three times higher than the urban areas. The change in mean delivery at facilities is about 1.8 whereas, the predicted change is 1.4. In our full sample model antenatal care visits contribute the largest predicted change of 22.3%, wealth and education contributes 17.3% and 15.3% respectively. For the rural area health indicator (prenatal doctor visit) is the largest drivers contributing 42.7% of the predicted change, hereafter education, demography and wealth. However, in urban area education and health contributed equally 32.0% of the change followed by demography (26.3%) and wealth (9.7%). Demographic variables (maternal BMI, birth order, age at marriage) contributing more than two-thirds (41.2%) of the predicted change in the model without the health variables. All models showed more than 60.0% predictive power. CONCLUSION: Health sector interventions should focus both coverage and quality of maternal health care services to sustain steady improvements in child birth facilities.
format Online
Article
Text
id pubmed-10189511
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-101895112023-05-18 Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018 Rana, Md Sohel Billah, Sk Masum Moinuddin, Mohammed Bakkar Siddique, Md Abu Khan, Md Mobarak Hossain Heliyon Research Article BACKGROUND: Although Bangladesh has gained rapid improvement in births at health facilities, yet far behind to achieve the SDG target. Assessing the contribution of factors in increased use of delivery at facilities are important to demonstrate. OBJECTIVE: To explore the determinants and their contribution in explaining increased use of facility child births in Bangladesh. PARTICIPANTS: Reproductive-aged women (15–49 years) of Bangladesh. METHODS AND MATERIALS: We used the latest five rounds (2004, 2007, 2011, 2014, 2017–2018) of Bangladesh Demographic and Health Surveys (BDHSs). The regression based classical decomposition approach has been used to explore the determinants and their contribution in explaining the increased use of facility child birth. RESULTS: A sample of 26,686 reproductive-aged women were included in the analysis, 32.90% (8780) from the urban and 67.10% (17,906) from the rural area. We observed a 2.4-fold increase in delivery at facilities from 2004 to 2017–2018, in rural areas it is more than three times higher than the urban areas. The change in mean delivery at facilities is about 1.8 whereas, the predicted change is 1.4. In our full sample model antenatal care visits contribute the largest predicted change of 22.3%, wealth and education contributes 17.3% and 15.3% respectively. For the rural area health indicator (prenatal doctor visit) is the largest drivers contributing 42.7% of the predicted change, hereafter education, demography and wealth. However, in urban area education and health contributed equally 32.0% of the change followed by demography (26.3%) and wealth (9.7%). Demographic variables (maternal BMI, birth order, age at marriage) contributing more than two-thirds (41.2%) of the predicted change in the model without the health variables. All models showed more than 60.0% predictive power. CONCLUSION: Health sector interventions should focus both coverage and quality of maternal health care services to sustain steady improvements in child birth facilities. Elsevier 2023-05-02 /pmc/articles/PMC10189511/ /pubmed/37206020 http://dx.doi.org/10.1016/j.heliyon.2023.e15875 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Rana, Md Sohel
Billah, Sk Masum
Moinuddin, Mohammed
Bakkar Siddique, Md Abu
Khan, Md Mobarak Hossain
Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018
title Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018
title_full Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018
title_fullStr Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018
title_full_unstemmed Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018
title_short Exploring the factors contributing to increase in facility child births in Bangladesh between 2004 and 2017–2018
title_sort exploring the factors contributing to increase in facility child births in bangladesh between 2004 and 2017–2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189511/
https://www.ncbi.nlm.nih.gov/pubmed/37206020
http://dx.doi.org/10.1016/j.heliyon.2023.e15875
work_keys_str_mv AT ranamdsohel exploringthefactorscontributingtoincreaseinfacilitychildbirthsinbangladeshbetween2004and20172018
AT billahskmasum exploringthefactorscontributingtoincreaseinfacilitychildbirthsinbangladeshbetween2004and20172018
AT moinuddinmohammed exploringthefactorscontributingtoincreaseinfacilitychildbirthsinbangladeshbetween2004and20172018
AT bakkarsiddiquemdabu exploringthefactorscontributingtoincreaseinfacilitychildbirthsinbangladeshbetween2004and20172018
AT khanmdmobarakhossain exploringthefactorscontributingtoincreaseinfacilitychildbirthsinbangladeshbetween2004and20172018