Evidence map›Paper›PMID 35940611›Full record

ReviewBMJ global health2022

Optimising the reach of mobile health messaging programmes: an analysis of system generated data for the Kilkari programme across 13 states in India.

Diwakar Mohan, Jean Juste Harrisson Bashingwa, Kerry Scott, Salil Arora, Sai Rahul, Nicola Mulder, Sara Chamberlain, Amnesty Elizabeth LeFevre, Kilkari Impact Evaluation Team

Abstract readReview
In one paragraph

Review in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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.

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
Jean Juste Harrisson BashingwaMedical Research Council/ Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Parktown, Johannesburg, 2193, South Africa, Johannesburg, South Africa.ORCID 0000-0003-1433-4397
Kerry ScottDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-3597-9637
Salil AroraDigital, BBC Media Action, New Delhi, India.
Sai RahulBeehyv Software Solutions Limited, Hyderabad, Telangana, India.
Nicola MulderComputational Biology Division, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa.
Sara ChamberlainBBC Media Action, Delhi, Delhi NCR, India.ORCID 0000-0003-4785-6482
Amnesty Elizabeth LeFevreDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8437-7240
Kilkari Impact Evaluation Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kilkari is an outbound service that makes weekly, stage-based, prerecorded calls about reproductive, maternal, neonatal and child health directly to families' mobile phones, starting from the second trimester of pregnancy and until the child is 1 year old. Since its initiation in 2012-2013, Kilkari has scaled to 13 states across India. In this analysis article, we explored the subscriber's journey from entry to programme to engagement with calls. Data sources included call data records and household survey data from the 2015 National Family Health Survey. In 2018, of the 13.6 million records received by MOTECH, the technology platform that powers Kilkari, 9.5 million (~70%) were rejected and 4.1 million new subscribers were created. Overall, 21% of pregnant women across 13 states were covered by the programme in 2018, with West Bengal and Himachal Pradesh reaching a coverage of over 50%. Among new subscriptions in 2018, 63% were subscribed during pregnancy and 37% after childbirth. Of these, over 80% were ever reached by Kilkari calls and 39% retained in the programme. The main causes for deactivation of subscribers from the system were low listenership and calls going unanswered for six continuous weeks. Globally, Kilkari is the largest maternal mobile messaging programme of its kind in terms of number of subscribers but the coverage among pregnant women remains low. While call reach appears to be on the higher side, subscriber retention is low; this highlights broader challenges with providing mobile health services at scale across India.

Indexed as

Cell PhoneTelemedicineChildChild HealthDelivery, ObstetricFemaleHumansIndiaInfantInfant, NewbornPregnancyHealth services researchMaternal healthPrevention strategies

Identifiers

PMID35940611
PMCPMC9366343

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.