Evidence map›Paper›PMID 34312154›Full record

ReviewBMJ global health2021

Can health information through mobile phones close the divide in health behaviours among the marginalised? An equity analysis of Kilkari in Madhya Pradesh, India.

Diwakar Mohan, Kerry Scott, Neha Shah, Jean Juste Harrisson Bashingwa, Arpita Chakraborty, Osama Ummer, Anna Godfrey, Priyanka Dutt, Sara Chamberlain, Amnesty Elizabeth LeFevre

Open access · goldAbstract readReview
In one paragraph

Review in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

10 authors at 2 institutions in 3 countries.

Diwakar MohanDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA dr.dmohan79@gmail.com.ORCID 0000-0002-7532-366X
Kerry ScottDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-3597-9637
Neha ShahDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jean Juste Harrisson BashingwaComputational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, Observatory, Western Cape, South Africa.ORCID 0000-0003-1433-4397
Arpita ChakrabortyBBC Media Action, New Delhi, Delhi, India.
Osama UmmerOxford Policy Management, New Delhi, Delhi, India.ORCID 0000-0002-4189-5328
Anna GodfreyResearch and Policy, BBC Action Media, London, UK.
Priyanka DuttBBC Media Action, New Delhi, Delhi, India.
Sara ChamberlainBBC Media Action, New Delhi, Delhi, India.
Amnesty Elizabeth LeFevreDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8437-7240
Johns Hopkins University · USAction for ME · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kilkari is one of the largest maternal mobile messaging programmes in the world. It makes weekly prerecorded calls to new and expectant mothers and their families from the fourth month of pregnancy until 1-year post partum. The programme delivers reproductive, maternal, neonatal and child health information directly to subscribers' phones. However, little is known about the reach of Kilkari among different subgroups in the population, or the differentiated benefits of the programme among these subgroups. In this analysis, we assess differentials in eligibility, enrolment, reach, exposure and impact across well-known proxies of socioeconomic position-that is, education, caste and wealth. Data are drawn from a randomised controlled trial (RCT) in Madhya Pradesh, India, including call data records from Kilkari subscribers in the RCT intervention arm, and the National Family Health Survey-4, 2015. The analysis identifies that disparities in household phone ownership and women's access to phones create inequities in the population eligible to receive Kilkari, and that among enrolled Kilkari subscribers, marginalised caste groups and those without education are under-represented. An analysis of who is left behind by such interventions and how to reach those groups through alternative communication channels and platforms should be undertaken at the intervention design phase to set reasonable expectations of impact. Results suggest that exposure to Kilkari has improved levels of some health behaviours across marginalised groups but has not completely closed pre-existing gaps in indicators such as wealth and education.

Indexed as

Cell PhoneChildChild HealthFemaleHealth BehaviorHumansIndiaInfant, NewbornPregnancyRandomized Controlled Trials as TopicTelephoneEpidemiologyMaternal healthPublic Health

Identifiers

PMID34312154
PMCPMC8327823
OpenAlexW3186555071

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.