Evidence map›Paper›PMID 35418068›Full record

ArticleBMC public health2022

Factors associated with women's healthcare decision-making during and after pregnancy in urban slums in Mumbai, India: a cross-sectional analysis.

Neha Batura, Stavros Poupakis, Sushmita Das, Ujwala Bapat, Glyn Alcock, Jolene Skordis, Hassan Haghparast-Bidgoli, Shanti Pantvaidya, David Osrin

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Neha BaturaInstitute for Global Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK. n.batura@ucl.ac.uk.
Stavros PoupakisInstitute for Global Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Sushmita DasSociety for Nutrition, Education and Health Action, Mumbai, India.
Ujwala BapatSociety for Nutrition, Education and Health Action, Mumbai, India.
Glyn AlcockUCL Centre for the Health of Women, Children and Adolescents, London, UK.
Jolene SkordisInstitute for Global Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Hassan Haghparast-BidgoliInstitute for Global Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Shanti PantvaidyaSociety for Nutrition, Education and Health Action, Mumbai, India.
David OsrinInstitute for Global Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
University College London · GBSociety for Nutrition Education and Health Action · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding factors associated with women's healthcare decision-making during and after pregnancy is important. While there is considerable evidence related to general determinants of women's decision-making abilities or agency, there is little evidence on factors associated with women's decision-making abilities or agency with regards to health care (henceforth, health agency), especially for antenatal and postnatal care. We assessed women's health agency during and after pregnancy in slums in Mumbai, India, and examined factors associated with increased participation in healthcare decisions.

methodsCross-sectional data were collected from 2,630 women who gave birth and lived in 48 slums in Mumbai. A health agency module was developed to assess participation in healthcare decision-making during and after pregnancy. Linear regression analysis was used to examine factors associated with increased health agency.

resultsAround two-thirds of women made decisions about perinatal care by themselves or jointly with their husband, leaving about one-third outside the decision-making process. Participation increased with age, secondary and higher education, and paid employment, but decreased with age at marriage and household size. The strongest associations were with age and household size, each accounting for about a 0.2 standard deviation difference in health agency score for each one standard deviation change (although in different directions). Similar differences were observed for those in paid employment compared to those who were not, and for those with higher education compared to those with no schooling.

conclusionExclusion of women from maternal healthcare decision-making threatens the effectiveness of health interventions. Factors such as age, employment, education, and household size need to be considered when designing health interventions targeting new mothers living in challenging conditions, such as urban slums in low- and middle-income countries.

Indexed as

Decision MakingPoverty AreasCross-Sectional StudiesDelivery of Health CareFemaleHumansPregnancySocioeconomic FactorsAgencyHealthcare utilisationIndiaMaternal health

Identifiers

PMID35418068
PMCPMC9009007
OpenAlexW4224039422

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.