Evidence map›Paper›PMID 37296394›Full record

ArticleBMC pregnancy and childbirth2023

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

Syed Sharaf Ahmed Chowdhury, Satyajit Kundu, Azaz Bin Sharif

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Syed Sharaf Ahmed Chowdhury *Department of Public Health, North South University, Dhaka, 1229, Bangladesh.
Satyajit Kundu *Global Health Institute, North South University, Dhaka, 1229, Bangladesh. satyajit.kundu@northsouth.edu.ORCID http://orcid.org/0000-0001-9610-1479
Azaz Bin SharifDepartment of Public Health, North South University, Dhaka, 1229, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal 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.

methodsData 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.

resultsAn 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.

conclusionTo 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.

Indexed as

FamilyHealthcare DisparitiesBangladeshEducational StatusFemaleHumansInfant, NewbornRural PopulationSocioeconomic FactorsBangladeshBDHSInequalitiesMaternal healthSkilled birth attendant

Identifiers

PMID37296394
PMCPMC10251570

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.