Evidence map›Paper›PMID 34312151›Full record

ArticleBMJ global health2021

Ten lessons learnt: scaling and transitioning one of the largest mobile health communication programmes in the world to a national government.

Sara Chamberlain, Priyanka Dutt, Anna Godfrey, Radharani Mitra, Amnesty Elizabeth LeFevre, Kerry Scott, Jai Mendiratta, Vinod Chauhan, Salil Arora

Open access · goldAbstract read
In one paragraph

Article 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 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

9 authors at 2 institutions in 2 countries.

Sara ChamberlainAsia, BBC Media Action, New Delhi, India sara.chamberlain@in.bbcmediaaction.org.
Priyanka DuttAsia, BBC Media Action, New Delhi, India.
Anna GodfreyAsia, BBC Media Action, London, UK.
Radharani MitraAsia, BBC Media Action, New Delhi, India.
Amnesty Elizabeth LeFevreInternational Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8437-7240
Kerry ScottInternational Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-3597-9637
Jai MendirattaDigital, BBC Media Action, New Delhi, India.
Vinod ChauhanDigital, BBC Media Action, New Delhi, India.
Salil AroraDigital, BBC Media Action, New Delhi, India.
Action for ME · GBJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been exponential growth in the numbers of 'digital development' programmes seeking to leverage technology to solve systemic challenges. However, despite promising results and a shift from pilots to scale-ups, many have failed to realise their full potential. This paper reflects on lessons learnt from scaling and transitioning one of the largest mobile health programmes in the world to the Indian government. The complementary suite of services was designed by BBC Media Action to strengthen families' reproductive, maternal, neonatal and child health behaviours. Mobile Academy was a training course to refresh frontline health workers' (FLHWs) knowledge and improve their interpersonal communication skills. Mobile

Indexed as

Health CommunicationTelemedicineChildChild HealthFederal GovernmentHealth PersonnelHumansInfant, Newbornchild healthhealth education and promotionhealth systemsmaternal healthpublic health

Identifiers

PMID34312151
PMCPMC8728354
OpenAlexW3185619766

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.