ArticlePloS one2023
Two level logistic regression analysis of factors influencing skilled birth attendant during delivery among Bangladeshi mothers: A nationally representative sample.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 2 citations in OpenAlex.
- Article
- Determinants of antenatal care and skilled birth attendance utilization in Bangladesh: evidence from the 2022 Bangladesh Demographic and Health Survey.BMC pregnancy and childbirth · 2026Article
- Prevalence and associated factors of skilled birth attendants in Bangladesh: A combined statistical and machine learning analysis.PloS one · 2026Article
- Article
- Knowledge, Attitudes, and Practices of Traditional Birth Attendants in Bangladesh: A Qualitative Study on Maternal and Newborn Healthcare in Local Community.Health science reports · 2025Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 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.
methodsThis 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.
resultsThis 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.
conclusionsThis 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.
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