Evidence map›Paper›PMID 34413409›Full record

ArticleScientific reports2021

A national assessment of elective cesarean sections in Bangladesh and the need for health literacy and accessibility.

Awan Afiaz, Anowara Rayhan Arusha, Nurjahan Ananna, Enamul Kabir, Raaj Kishore Biswas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Factors Associated with Low Birthweight in Low-and-Middle Income Countries in South Asia.International journal of environmental research and public health · 2022
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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

5 authors at 4 institutions in 2 countries.

Awan AfiazInstitute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.
Anowara Rayhan ArushaApplied Linguistics and English Language Teaching (ELT), University of Dhaka, Dhaka, Bangladesh.
Nurjahan AnannaIbrahim Medical College, Dhaka, Bangladesh.
Enamul KabirSchool of Sciences, University of Southern Queensland, Toowoomba, QLD, Australia.
Raaj Kishore BiswasTransport and Road Safety (TARS) Research Centre, School of Aviation, University of New South Wales, Sydney, Australia. RaajKishore.Biswas@student.unsw.edu.au.
University of Dhaka · BDIbrahim Cardiac Hospital & Research Institute · BDUniversity of Southern Queensland · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a gradual rise in the number of cesarean sections (CSs) in Bangladesh. The present study identified the cohort of women, who were more likely to opt for an elective CS based on their sociodemographic characteristics, pre-delivery care history, and media exposure, using the Bangladesh Multiple Indicator Cluster Survey-2019. The survey stratification adjusted logistic regression model and interpretable machine learning method of building classification trees were utilized to analyze a sample of 9202 women, alongside district-wise heat maps. One-in-five births (20%) were elective CSs in the 2 years prior to the survey. Women residing in affluent households with educated house-heads, who accessed antenatal care prior to delivery (AOR 4.12; 95% CI 3.06, 5.54) with regular access to media (AOR 1.31; 95% CI 1.10, 1.56) and who owned a mobile phone (AOR 1.25; 95% CI 1.04, 1.50) were more likely to opt for elective CSs, which suggests that health access and health literacy were crucial factors in women's mode of delivery. Spatial analyses revealed that women living in larger cities had more elective CS deliveries, pointing towards the availability of better health and access to multiple safe delivery options in peripheral areas.

Indexed as

Cesarean SectionElective Surgical ProceduresHealth LiteracyHealth Services AccessibilityAdultBangladeshFemaleHumansLinear Models

Identifiers

PMID34413409
PMCPMC8376956
OpenAlexW3195980543

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.