Evidence map›Paper›PMID 23617210›Full record

ArticleJournal of health, population, and nutrition2013

Preference for institutional delivery and caesarean sections in Bangladesh.

S M Mostafa Kamal

Open access · bronzeAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 4% 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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

S M Mostafa KamalDepartment of Mathematics, Islamic University, Kushtia 7003, Bangladesh. kamaliubd@yahoo.com
Islamic University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Bangladesh, preference for place of delivery and socioeconomic factors associated with caesarean section are not well-understood. This paper examines the socioeconomic correlates of preference for institutional delivery and caesarean sections in Bangladesh. The study used data from the nationally-representative 2007 Bangladesh Demographic and Health Survey. Both bivariate and multivariate binary logistic regression models were constructed to assess the effect of sociodemographic factors on the use of medical facilities and caesarean section for childbirth. Overall, 15% of women underwent institutional delivery, and 8% deliveries were performed by caesarean sections. Both institutional deliveries and caesarean sections have increased in recent years. The bivariate and multivariate analyses both confirmed that place of residence, religion, birth order, frequent pregnancy, antenatal care-seeking, and wealth index were important predictors of the use of medical facilities and caesarean sections for childbirth. Women's education appeared as the most single significant determinant for the use of both services. The findings underlie the importance of monitoring caesarean section as well as professional attendance for safe motherhood. Programmes should aim to inform women highlighting the benefits of the use of skilled maternal healthcare services and demerits of home-delivery practices.

Indexed as

AdolescentAdultBangladeshBirth OrderCesarean SectionDelivery, ObstetricEducational StatusEmploymentFemaleHome ChildbirthHumansMaternal Health ServicesMiddle AgedParityPatient Acceptance of Health CarePregnancy

Identifiers

PMID23617210
PMCPMC3702364
OpenAlexW2127667161

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.