Evidence map›Paper›PMID 35977730›Full record

ArticleBMJ open quality2022

mHealth learning tool for skilled birth attendants: scaling the Safe Delivery App in India.

Tarun Singh Sodha, Astrid Grønbæk, Aditya Bhandari, Bright Mary, Ajit Sudke, Lauren Teresa Smith

Abstract read
In one paragraph

Article in BMJ open quality, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Tarun Singh SodhaMaternity Foundation India, New Delhi, India.
Astrid GrønbækMaternity Foundation, Copenhagen, Denmark.
Aditya BhandariMaternity Foundation India, New Delhi, India.
Bright MaryMaternity Foundation India, New Delhi, India.
Ajit SudkeNQOCN, New Delhi, India.ORCID 0000-0001-7068-8478
Lauren Teresa SmithMaternity Foundation, Copenhagen, Denmark lsmith@maternity.dk.ORCID 0000-0003-2625-1281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the main drivers of maternal and newborn mortality and morbidity in India is a lack of quality of care in health facilities. Inadequate competencies of health workers, insufficient quality of training and infrastructure, and the financial challenges of providing training across the country impede quality care provision. To this end, the Government of India began exploring cost-effective tech and IT-based solutions to support existing quality improvement (QI) initiatives.

methodWe describe the process and approach of scaling the Safe Delivery App (hereafter referred to as the App) throughout India. The App is an mHealth learning tool for equipping health workers in managing obstetric and neonatal emergencies by placing evidence-based, and up-to-date clinical guidelines in their hands through their mobile devices. The use of the App was supported by the Ministry of Health and the Department of Health at the state level. Both parties were actively involved in the roll-out of the App and had a clear vision of how the App can complement existing structures/systems/programmes.

resultsThe App was successfully integrated and implemented in various government-led QI initiatives. Approximately 20 000 healthcare workers (HCWs) have been trained on the App and selected clinical topics since its launch, and between 2018 and 2021 over 86 000 HCWs across all states and union territories used the App. Moreover, project-specific data show a significant increase in the knowledge level of users of the App.

conclusionScaling such a tool within existing programmes is not a linear process. In India, the approach, government buy-in and flexibility of implementation modalities led to the successful roll-out of the App. We have demonstrated that an mHealth tool can be used to support the growing desire of governments to use tech in support existing QI initiatives and supporting the improvement of quality of care provided.

Indexed as

Mobile ApplicationsTelemedicineFemaleHumansIndiaInfant, NewbornPregnancyQuality ImprovementResearch DesignMaternal Health ServicesMobile ApplicationsQuality improvement

Identifiers

PMID35977730
PMCPMC9389095

What OpenQuestion holds

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LicenceCC BY-NC
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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.