Evidence map›Paper›PMID 37649006›Full record

ArticleBMC pregnancy and childbirth2023

Variations in the prevalence of caesarean section deliveries in India between 2016 and 2021 - an analysis of Tamil Nadu and Chhattisgarh.

Varshini Neethi Mohan, P Shirisha, Girija Vaidyanathan, V R Muraleedharan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Varshini Neethi MohanDepartment of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India. varshinim@gmail.com.
P ShirishaDepartment of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India.
Girija VaidyanathanDepartment of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India.
V R MuraleedharanDepartment of Humanities and Social Sciences, Indian Institute of Technology Madras (IIT Madras), Chennai, 600 036, Tamil Nadu, India.
Indian Institute of Technology Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of C-sections in India increased from 17.2% to 2006 to 21.5% in 2021. This study examines the variations in C-section prevalence and the factors correlating to these variations in Tamil Nadu (TN) and Chhattisgarh (CG).

methodsDelivery by C-section as the outcome variable and several demographic, socio-economic, and clinical variables were considered as explanatory variables to draw inferences from unit-level data from the National Family Health Survey (NFHS-4; 2015-16 and NFHS-5; 2019-21). Descriptive statistics, bivariate percentage distribution, Pearson's Chi-square test, and multivariate binary logistic regression models were employed. The Slope Index of Inequality (SII) and the Concentration Index (CIX) were used to analyse absolute and relative inequality in C-section rates across wealth quintiles in public- and private-sector institutions.

resultsThe prevalence of C-sections increased across India, TN and CG despite a decrease in pregnancy complications among the study participants. The odds of caesarean deliveries among overweight women were twice (OR = 2.11; 95% CI 1.95-2.29; NFHS-5) those for underweight women. Women aged 35-49 were also twice (OR = 2.10; 95% CI 1.92-2.29; NFHS-5) as likely as those aged 15-24 to have C-sections. In India, women delivering in private health facilities had nearly four times higher odds (OR = 3.90; 95% CI 3.74-4.06; NFHS-5) of having a C-section; in CG, the odds were nearly ten-fold (OR = 9.57; 95% CI:7.51,12.20; NFHS-5); and in TN, nearly three-fold (OR = 2.65; 95% CI-2.27-3.10; NFHS-5) compared to those delivering in public facilities. In public facilities, absolute inequality by wealth quintile in C-section prevalence across India and in CG increased in the five years until 2021, indicating that the rich increasingly delivered via C-sections. In private facilities, the gap in C-section prevalence between the poor (the bottom two quintiles) and the non-poor narrowed across India. In TN, the pattern was inverted in 2021, with an alarming 73% of the poor delivering via C-sections compared to 64% of those classified as non-poor.

conclusionThe type of health facility (public or private) had the most impact on whether delivery was by C-section. In India and CG, the rich are more likely to have C-sections, both in the private and in the public sector. In TN, a state with good health indicators overall, the poor are surprisingly more likely to have C-sections in the private sector. While the reasons for this inversion are not immediately evident, the implications are worrisome and pose public health policy challenges.

Indexed as

Cesarean SectionFamily HealthFemaleHealth FacilitiesHumansIndiaPregnancyPrevalenceCaesarean sectionC-section deliveryIndiaInequalityNFHS-5Private Sector

Identifiers

PMID37649006
PMCPMC10466745
OpenAlexW4386290202

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.