Evidence map›Paper›PMID 34992116›Full record

ArticleBMJ open2022

Assessing geographical and economic inequalities in caesarean section rates between the districts of Bihar, India: a secondary analysis of the National Family Health Survey.

Minal Shukla, Monali Mohan, Alex van Duinen, Anita Gadgil, Juul Bakker, Pranav Bhushan, Nobhojit Roy

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
3.4field-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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

7 authors at 5 institutions in 4 countries.

Minal Shukla *Dept of Surgery, WHO Collaboration Centre for Research in Surgical Care Delivery in LMICs, Mumbai, Maharashtra, India.
Monali Mohan *Dept of Surgery, WHO Collaboration Centre for Research in Surgical Care Delivery in LMICs, Mumbai, Maharashtra, India.
Alex van DuinenFaculty of Medicine and Health Sciences Department of Cancer Research and Molecular Medicine, NTNU Fakultet for ingeniorvitenskap og teknologi Trondheim, Trondheim, Norway.
Anita GadgilDept of Surgery, WHO Collaboration Centre for Research in Surgical Care Delivery in LMICs, Mumbai, Maharashtra, India.
Juul BakkerMédecins Sans Frontières, Amsterdam, The Netherlands.
Pranav BhushanAspirational Districts Unit, Ministry of Health and Family Welfare, Govt of India, New Delhi, India.
Nobhojit RoyDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden nobhojit.roy@ki.se.ORCID 0000-0003-2022-7416
Advanced Centre for Treatment, Research and Education in Cancer · INKarolinska Institutet · SEMédecins Sans Frontières · NLMinistry of Health and Family Welfare · INSt Olav's University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Bihar, one of the most populous and poorest states in India, caesarean sections have increased over the last decade. However, an aggregated caesarean section rate at the state level may conceal inequities at the district level.

objectivesThe primary aim of this study was to analyse the inequalities in the geographical and socioeconomic distribution of caesarean sections between the districts of Bihar. The secondary aim was to compare the contribution of free-for-service government-funded public facilities and fee-for-service private facilities to the caesarean section rate.

settingBihar, with a population in the 2011 census of approximately 104 million people, has a low GDP per capita (US$610), compared with other Indian states. The state has the highest crude birth rate (26.1 per 1000 population) in India, with one baby born every two seconds. Bihar is divided into 38 administrative districts, 101 subdivisions and 534 blocks. Each district has a district (Sadar) hospital, and six districts also have one or more medical college hospitals.

methodsThis retrospective secondary data analysis was based on open-source national datasets from the 2015 and 2019 National Family Health Surveys, with respective sample sizes of 45 812 and 42 843 women aged 15-49 years.

participantsSecondary data analysis of pregnant women delivering in public and private institutions.

resultsThe caesarean section rate increased from 6.2% in 2015 to 9.7% in 2019 in Bihar. Districts with a lower proportion of poor population had higher caesarean section rates (R

conclusionMarked inequalities exist in access to caesarean sections. The public sector needs to be strengthened to improve access to obstetric services for those who need it most.

Indexed as

Cesarean SectionPublic SectorAdolescentAdultFemaleHealth SurveysHumansIndiaMiddle AgedPovertyPregnancyRetrospective StudiesYoung Adultepidemiologyhealth policyobstetrics

Identifiers

PMID34992116
PMCPMC8739431
OpenAlexW4206785554

What OpenQuestion holds

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LicenceCC BY
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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.