Evidence map›Paper›PMID 36567778›Full record

ArticleInternational journal of clinical practice2022

Rural-Urban Determinants of Receiving Skilled Birth Attendants among Women in Bangladesh: Evidence from National Survey 2017-18.

Sohani Afroja, Abu Saleh Muhammad Nasim, Md Salauddin Khan, Mohammad Alamgir Kabir

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Article in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sohani AfrojaDepartment of Statistics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.ORCID https://orcid.org/0000-0002-4284-7926
Abu Saleh Muhammad NasimStatistics Discipline, Science Engineering and Technology School, Khulna University, Khulna 9208, Bangladesh.ORCID https://orcid.org/0000-0001-6172-2822
Md Salauddin KhanStatistics Discipline, Science Engineering and Technology School, Khulna University, Khulna 9208, Bangladesh.ORCID https://orcid.org/0000-0002-5001-7877
Mohammad Alamgir KabirDepartment of Statistics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SBAs (skilled birth attendants) play a crucial role in reducing maternal mortality. The proportion of maternal healthcare in Bangladesh that receives quality care at birth has increased; the reasons for this are unknown. The purpose of this study is to see if there has been a change in the use of specific maternal healthcare indicators in urban and rural areas, as well as significant risk factors. Materials and Methods: The data set was extracted from a nationally representative survey based on a cross-sectional study, the Bangladesh Health and Demographic Survey (BDHS) 2017-18. The frequency distribution reveals the general state of SBAs. To identify the association, we performed the chi-square test. Finally, multiple logistic regression was used to analyse the factors associated with SBAs and determine the degree of SBAs disparity between urban and rural areas. Results: In Bangladesh, 53% of women received SBAs during childbirth, with urban and rural areas receiving 68.1 and 52.2 percent, respectively. Women with secondary (AOR: 1.79, CI: 1.05-3.08) and higher (AOR: 4.18, CI: 2.09-8.50) education were more likely to receive SBAs than women in urban areas who were illiterate. Husband's education, women's working status, wealth index, children's birth order, and number of ANC visit are significant factors in receiving SBSs in both urban and rural areas. Higher educated husbands are 1.83 times (AOR = 1.83, CI: 1.04-3.25, Conclusion: During delivery, significant risk factors are substantially related to SBAs. More attention must be given to rural and illiterate populations, who are less likely to obtain these services, to minimize maternal and neonatal mortality. Special programs could be developed to raise awareness and facilitate the poor in receiving the basic necessities of maternal care.

Indexed as

Maternal Health ServicesPrenatal CareBangladeshChildCross-Sectional StudiesFemaleHealth Services AccessibilityHumansInfant, NewbornPregnancyResidence CharacteristicsRural PopulationSurveys and Questionnaires

Identifiers

PMID36567778
PMCPMC9754836

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LicenceCC BY
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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.