Evidence map›Paper›PMID 34429283›Full record

ReviewBMJ global health2021

Examining the reach and exposure of a mobile phone-based training programme for frontline health workers (ASHAs) in 13 states across India.

Jean Juste Harrisson Bashingwa, Neha Shah, Diwakar Mohan, Kerry Scott, Sara Chamberlain, Nicola Mulder, Sai Rahul, Salil Arora, Arpita Chakraborty, Osama Ummer and 3 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. Article
  2. Article
  3. Article
  4. A mixed methods evaluation of the impact of ECHOHuman resources for health · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

13 authors.

Jean Juste Harrisson BashingwaComputational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, Cape Town, Western Cape, South Africa jeanjuste@aims.ac.za.ORCID 0000-0003-1433-4397
Neha ShahJohns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-9450-604X
Diwakar MohanDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Kerry ScottDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sara ChamberlainBBC Media Action, India, 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, Cape Town, South Africa.
Sai RahulBeeHyv Software Solutions Pvt. Ltd, Hyderabad, Telangana, India.
Salil AroraBBC Media Action, India, New Delhi, Delhi, India.
Arpita ChakrabortyOxford Policy Management, New Delhi, Delhi, India.ORCID 0000-0003-0515-3420
Osama UmmerBBC Media Action, India, New Delhi, Delhi, India.ORCID 0000-0002-4189-5328
Rajani VedNational Health Systems Resource Centre, New Delhi, Delhi, India.
Amnesty Elizabeth LeFevreInternational 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

Mobile phones are increasingly used to facilitate in-service training for frontline health workers (FLHWs). Mobile learning (mLearning) programmes have the potential to provide FLHWs with high quality, inexpensive, standardised learning at scale, and at the time and location of their choosing. However, further research is needed into FLHW engagement with mLearning content at scale, a factor which could influence knowledge and service delivery. Mobile Academy is an interactive voice response training course for FLHWs in India, which aims to improve interpersonal communication skills and refresh knowledge of preventative reproductive, maternal, neonatal and child health. FLHWs dial in to an audio course consisting of 11 chapters, each with a 4-question true/false quiz, resulting in a cumulative pass/fail score. In this paper, we analyse call data records from the national version of Mobile Academy to explore coverage, user engagement and completion. Over 158 596 Accredited Social Health Activists (ASHAs) initiated the national version, while 111 994 initiated the course on state-based platforms. Together, this represents 41% of the estimated total number of ASHAs registered in the government database across 13 states. Of those who initiated the national version, 81% completed it; and of those, over 99% passed. The initiation and completion rates varied by state, with Rajasthan having the highest initiation rate. Many ASHAs made multiple calls in the afternoons and evenings but called in for longer durations earlier in the day. Findings from this analysis provide important insights into the differential reach and uptake of the programme across states.

Indexed as

Cell PhoneCommunity Health WorkersChildChild HealthHealth WorkforceHumansIndiaInfant, Newbornhealth systemshealth systems evaluation

Identifiers

PMID34429283
PMCPMC8386225

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.