Evidence map›Paper›PMID 37605266›Full record

ArticleJournal of health, population, and nutrition2023

Influencing factors associated with maternal delivery at home in urban areas: a cross-sectional analysis of the Bangladesh Demographic and Health Survey 2017-2018 data.

Khandaker Tanveer Ahmed, Md Karimuzzaman, Shohel Mahmud, Labiba Rahman, Md Moyazzem Hossain, Azizur Rahman

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Article in Journal of health, population, and nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Khandaker Tanveer AhmedDepartment of Statistics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh. tanveer.stu2015@juniv.edu.ORCID https://orcid.org/0000-0001-8048-5367
Md KarimuzzamanDREXEL Dornsife School of Public Health, DREXEL University, Philadelphia, PA, USA.
Shohel MahmudDepartment of Statistics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.
Labiba RahmanDepartment of Statistics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Md Moyazzem HossainDepartment of Statistics, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh. hossainmm@juniv.edu.ORCID https://orcid.org/0000-0003-3593-6936
Azizur RahmanSchool of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia.ORCID https://orcid.org/0000-0002-7670-5192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe associated factors and patterns of giving birth in home settings of rural areas have been extensively studied in Bangladeshi literature. However, urban areas still need to be explored, particularly with recent data. Therefore, the authors aimed to investigate the influential determinants of delivery at home in urban areas of Bangladesh. MATERIALS AND

methodsIn this study, 1699 urban-dwelling women who had given birth within the previous 60 months of the survey and lived in urban areas were used. The secondary data were extracted from the latest Bangladesh Demographic and Health Survey 2017-2018. Descriptive statistics and logistic regression were applied along with the association among selected variables were examined by the Chi-square test.

resultsFindings depict that 36.49% of women who lived in urban areas of Bangladesh delivered at home, whereas, 63.51% delivered at different govt. and private health care facilities. Women who lived in Chittagong [adjusted odds ratio (AOR) = 2.11, 95% CI 1.24-3.60], Barisal [AOR = 2.05, 95% CI 1.16-3.64] and Sylhet [AOR = 1.92, 95% CI 1.08-3.43] divisions have more likelihood to deliver at home (36.85%). Urban women following Christian religion [AOR = 10.71, 95% CI 1.32-86.68] have higher odds of delivering child at home (0.47%). Urban women having three or more children before her latest delivery (22.37%) and who are employed (29.37%) have more likelihood to deliver at home. However, women aged between 25 and 34 years (43.50%), who have higher education (25.90%), play the role of household head (9.06%), have parity of more than two births (2.24%), and read daily newspapers (68.69%) had a lower chance of delivery at home. Furthermore, women from wealthier families (89.12%) and more antenatal care (ANC) visits (94.93%) were less likely to have a delivery at home.

conclusionDespite significant progress in women and reproductive health in Bangladesh, the proportion of delivery in the home in urban areas is alarming and should be emphasized more. The authors believe the identified factors will help design interventions and policy development on this issue.

Indexed as

Asian PeopleHome ChildbirthAdultBangladeshCross-Sectional StudiesDemographyFemaleHumansPregnancyUrban PopulationBangladeshDelivery at homeDeterminantsReproductive health

Identifiers

PMID37605266
PMCPMC10440937

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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.