Evidence map›Paper›PMID 37492410›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Spatial distribution of caesarean deliveries and their determinants in Bangladesh: evidence from linked data of population and health facility survey.

Md Nuruzzaman Khan, M Mofizul Islam, Shahinoor Akter

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

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

3 authors.

Md Nuruzzaman KhanDepartment of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh 2220, Bangladesh.
M Mofizul IslamDepartment of Public Health, La Trobe University, Melbourne, Victoria 3086, Australia.
Shahinoor AkterCentre for Health Equity, School of Population and Global Health, The University of Melbourne, Victoria 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Health facility-level factors play a crucial role in women's access to and use of caesarean section (CS) services, but lacks relevant evidence. The study aimed to understand the effects of health facility-level factors on CS delivery in Bangladesh. Methods: The 2017-18 Bangladesh Demographic and Health Survey (2017-18 BDHS) and the 2017 Bangladesh Health Facility Survey (2017 BHFS) were linked and analysed in this study. The sample comprised of 4954 women gave at least one live birth within three years preceding the survey. The outcome variable was delivery through CS (yes, no) and the explanatory variables were health facility-level, individual-level, household-level, and community-level factors. Moran's I and Getis-Ord General G statistic were used to identify the hotspots of delivery through CS. Mixed-effect multilevel logistic regression was used to examine the association of the outcome variable with explanatory variables. Findings: Around 33% of women in Bangladesh underwent CS in their most recent pregnancies. The hotspots of delivery through CS are located primarily in Rajshahi, Dhaka, and Khulna divisions. The likelihood of delivered through CS increased with the rising scores of the management (Adjusted Odds Ratio (AOR), 1.83; 95% CI 1.04-2.07) and infrastructure (AOR, 3.14; 95% CI 1.40-5.12) of the nearest health facility. The readiness of health facilities to provide comprehensive obstetric care was significantly associated with an increased likelihood of delivery through CS (AOR, 2.18; 95% CI 1.15-3.28). These relationships were strong for private than non-government and government health facilities. Interpretation: The proximity of comprehensive obstetric care facilities to women's residences and their readiness to provide services play critical roles in the access to and use of CS in Bangladesh. The findings highlight the importance of necessary healthcare personnel, including midwives, availability of government hospitals where undue CS are avoided, and awareness-building programmes about the adverse effects of CS delivery. Funding: None.

Indexed as

BangladeshCaesarean deliveryHealth facility-level factorsMultilevel logistics regressionSpatial variation of caesarean section

Identifiers

PMID37492410
PMCPMC10363500

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.