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Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample
BACKGROUND: In order to minimize the maternal and child mortality rate, the presence of skilled birth attendants (SBA) during delivery is essential. By 2022, 4th health, population and nutrition sector programme in Bangladesh aims to increase the percentage of deliveries performed by SBA to 65 perce...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522025/ https://www.ncbi.nlm.nih.gov/pubmed/37751430 http://dx.doi.org/10.1371/journal.pone.0291790 |
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author | Ema, Nusrat Jahan Eva, Mahmuda Khanom Mamun, Abu Sayed Md. Al Rafi, Md. Abdur Khabir, Ahsanul Kundu, Ramendra Nath Bharati, Premananda Hossain, Md. Golam |
author_facet | Ema, Nusrat Jahan Eva, Mahmuda Khanom Mamun, Abu Sayed Md. Al Rafi, Md. Abdur Khabir, Ahsanul Kundu, Ramendra Nath Bharati, Premananda Hossain, Md. Golam |
author_sort | Ema, Nusrat Jahan |
collection | PubMed |
description | BACKGROUND: In order to minimize the maternal and child mortality rate, the presence of skilled birth attendants (SBA) during delivery is essential. By 2022, 4th health, population and nutrition sector programme in Bangladesh aims to increase the percentage of deliveries performed by SBA to 65 percent. The objective of the present study was to determine the rate and associated factors of usage SBA among Bangladeshi mothers during their delivery. METHODS: This study utilized secondary data that was collected by Bangladesh Demographic and Health Survey (BDHS) 2017–18. The usage of SBA was measured by a question to respondent, who assisted during your delivery? It was classified into two classes; (i) skilled birth attendant (qualified doctors, nurses, midwives, or paramedics; family welfare visitors, community skilled birth attendants, and sub-assistant community medical officers) (code 1), and (ii) unskilled birth attendant (untrained traditional birth attendants, trained traditional birth attendants, relatives, friends, or others) (code 0). Two logistic regression model was used to determine the associated factors of SBA after removing the cluster effect of the outcome variable. RESULTS: This study found 53.2% mothers were delivered by SBA in Bangladesh, among them 56.33% and 42.24% mothers were delivered by nurse/midwife/paramedic and doctor respectively. The two level logistic model demonstrated that geographical location (division), type of residence, religion, wealth index, mothers’ body mass index, mothers’ education level, mothers’ occupation, total ever born children, mothers’ age at first birth (year), number of ANC visits, husbands’ education level and husbands’ occupation were significant (p<0.01) predictors of SBA. Mothers’ education and wealth index were the most important contributory factors for SBA in Bangladesh. CONCLUSIONS: This study revealed that still 46.8% mothers are delivered by unskilled birth attendant, this might be treated of Bangladesh Government to achieve SDGs indicator 3.1.2 by 2030. Counseling could be integrated during ANC to increase awareness, and should ensure for every Bangladeshi mothers visit ANC service during their pregnancy at least 4 times. |
format | Online Article Text |
id | pubmed-10522025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105220252023-09-27 Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample Ema, Nusrat Jahan Eva, Mahmuda Khanom Mamun, Abu Sayed Md. Al Rafi, Md. Abdur Khabir, Ahsanul Kundu, Ramendra Nath Bharati, Premananda Hossain, Md. Golam PLoS One Research Article BACKGROUND: In order to minimize the maternal and child mortality rate, the presence of skilled birth attendants (SBA) during delivery is essential. By 2022, 4th health, population and nutrition sector programme in Bangladesh aims to increase the percentage of deliveries performed by SBA to 65 percent. The objective of the present study was to determine the rate and associated factors of usage SBA among Bangladeshi mothers during their delivery. METHODS: This study utilized secondary data that was collected by Bangladesh Demographic and Health Survey (BDHS) 2017–18. The usage of SBA was measured by a question to respondent, who assisted during your delivery? It was classified into two classes; (i) skilled birth attendant (qualified doctors, nurses, midwives, or paramedics; family welfare visitors, community skilled birth attendants, and sub-assistant community medical officers) (code 1), and (ii) unskilled birth attendant (untrained traditional birth attendants, trained traditional birth attendants, relatives, friends, or others) (code 0). Two logistic regression model was used to determine the associated factors of SBA after removing the cluster effect of the outcome variable. RESULTS: This study found 53.2% mothers were delivered by SBA in Bangladesh, among them 56.33% and 42.24% mothers were delivered by nurse/midwife/paramedic and doctor respectively. The two level logistic model demonstrated that geographical location (division), type of residence, religion, wealth index, mothers’ body mass index, mothers’ education level, mothers’ occupation, total ever born children, mothers’ age at first birth (year), number of ANC visits, husbands’ education level and husbands’ occupation were significant (p<0.01) predictors of SBA. Mothers’ education and wealth index were the most important contributory factors for SBA in Bangladesh. CONCLUSIONS: This study revealed that still 46.8% mothers are delivered by unskilled birth attendant, this might be treated of Bangladesh Government to achieve SDGs indicator 3.1.2 by 2030. Counseling could be integrated during ANC to increase awareness, and should ensure for every Bangladeshi mothers visit ANC service during their pregnancy at least 4 times. Public Library of Science 2023-09-26 /pmc/articles/PMC10522025/ /pubmed/37751430 http://dx.doi.org/10.1371/journal.pone.0291790 Text en © 2023 Ema 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 Ema, Nusrat Jahan Eva, Mahmuda Khanom Mamun, Abu Sayed Md. Al Rafi, Md. Abdur Khabir, Ahsanul Kundu, Ramendra Nath Bharati, Premananda Hossain, Md. Golam Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample |
title | Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample |
title_full | Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample |
title_fullStr | Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample |
title_full_unstemmed | Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample |
title_short | Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample |
title_sort | two level logistic regression analysis of factors influencing skilled birth attendant during delivery among bangladeshi mothers: a nationally representative sample |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522025/ https://www.ncbi.nlm.nih.gov/pubmed/37751430 http://dx.doi.org/10.1371/journal.pone.0291790 |
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