Evidence map›Paper›PMID 23509239›Full record

Trial reportInternational journal of epidemiology2013

The equity impact of participatory women's groups to reduce neonatal mortality in India: secondary analysis of a cluster-randomised trial.

Tanja A J Houweling, Prasanta Tripathy, Nirmala Nair, Shibanand Rath, Suchitra Rath, Rajkumar Gope, Rajesh Sinha, Caspar W Looman, Anthony Costello, Audrey Prost

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in International journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 9 pooled it
–field-weighted citation impact
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

43 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Tanja A J HouwelingInstitute for Global Health, University College London, London, UK. a.j.houweling@erasmusmc.nl
Prasanta Tripathy
Nirmala Nair
Shibanand Rath
Suchitra Rath
Rajkumar Gope
Rajesh Sinha
Caspar W Looman
Anthony Costello
Audrey Prost

Funding

Wellcome Trust 085417
6 · The paper itself

Abstract

Progress towards the Millennium Development Goals (MDGs) has been uneven. Inequalities in child health are large and effective interventions rarely reach the most in need. Little is known about how to reduce these inequalities. We describe and explain the equity impact of a women's group intervention in India that strongly reduced the neonatal mortality rate (NMR) in a cluster-randomised trial. We conducted secondary analyses of the trial data, obtained through prospective surveillance of a population of 228,186. The intervention effects were estimated separately, through random effects logistic regression, for the most and less socio-economically marginalised groups. Among the most marginalised, the NMR was 59% lower in intervention than in control clusters in years 2 and 3 (70%, year 3); among the less marginalised, the NMR was 36% lower (35%, year 3). The intervention effect was stronger among the most than among the less marginalised (P-value for difference = 0.028, years 2-3; P-value for difference = 0.009, year 3). The stronger effect was concentrated in winter, particularly for early NMR. There was no effect on the use of health-care services in either group, and improvements in home care were comparable. Participatory community interventions can substantially reduce socio-economic inequalities in neonatal mortality and contribute to an equitable achievement of the unfinished MDG agenda.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesSocioeconomic FactorsCommunity-Based Participatory ResearchCommunity ParticipationFemaleHumansIndiaInfant MortalityInfant, NewbornMalePopulation SurveillanceProspective StudiesRandomized Controlled Trials as Topic

Identifiers

PMID23509239
PMCPMC3619953

What OpenQuestion holds

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Registered trials

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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.