Evidence map›Paper›PMID 34312148›Full record

ReviewBMJ global health2021

Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India.

Jean Juste Harrisson Bashingwa, Diwakar Mohan, Sara Chamberlain, Salil Arora, Jai Mendiratta, Sai Rahul, Vinod Chauhan, Kerry Scott, Neha Shah, Osama Ummer and 4 more

Abstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Mapping subnational gender gaps in internet and mobile adoption using social media data.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

14 authors.

Jean Juste Harrisson BashingwaComputational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa jeanjuste@aims.ac.za.ORCID 0000-0003-1433-4397
Diwakar MohanInternational Health, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Sara ChamberlainBBC Media Action, Delhi, India.
Salil AroraBBC Media Action, Delhi, India.
Jai MendirattaBBC Media Action, Delhi, India.
Sai RahulBeehyv Software Solutions Pvt Ltd, Hyderabad, India.
Vinod ChauhanBBC Media Action, Delhi, India.
Kerry ScottInternational Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-3597-9637
Neha ShahInternational Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Osama UmmerBBC Media Action, Delhi, India.ORCID 0000-0002-4189-5328
Rajani VedNational Health Systems Resource Centre, New Delhi, Delhi, India.
Nicola MulderComputational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Amnesty Elizabeth LeFevreSchool of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-8437-7240
Kilkari Impact Evaluation Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Kilkari programme is being implemented by the Government of India in 13 states. Designed by BBC Media Action and scaled in collaboration with the Ministry of Health and Family Welfare from January 2016, Kilkari had provided mobile health information to over 10 million subscribers by the time BBC Media Action transitioned the service to the government in April 2019. Despite the reach of Kilkari in terms of the absolute number of subscribers, no longitudinal analysis of subscriber exposure to health information content over time has been conducted, which may underpin effectiveness and changes in health outcomes. In this analysis, we draw from call data records to explore exposure to the Kilkari programme in India for the 2018 cohort of subscribers. We start by assessing the timing of the first successful call answered by subscribers on entry to the programme during pregnancy or postpartum, and then assess call volume, delivery, answering and listening rates over time. Findings suggest that over half of subscribers answer their first call after childbirth, with the remaining starting in the pregnancy period. The system handles upwards of 1.2 million calls per day on average. On average, 50% of calls are picked up on the first call attempt, 76% by the third and 99.5% by the ninth call attempt. Among calls picked up, over 48% were listened to for at least 50% of the total content duration and 43% were listened to for at least 75%. This is the first analysis of its kind of a maternal mobile messaging programme at scale in India. Study analyses suggest that multiple call attempts may be required to reach subscribers. However, once answered, subscribers tend to listen the majority of the call-a figure consistent across states, over time, and by health content area.

Indexed as

Data AnalysisTelemedicineFemaleHumansIndiaPregnancyhealth systems evaluationmaternal health

Identifiers

PMID34312148
PMCPMC8327807

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.