Evidence map›Paper›PMID 28567408›Full record

ArticlemHealth2017

Evidence-based adaptation and scale-up of a mobile phone health information service.

Kelly L'Engle, Kate F Plourde, Trinity Zan

Abstract read
In one paragraph

Article in mHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Kelly L'EngleSchool of Nursing and Health Professions, University of San Francisco, 2130 Fulton Street, San Francisco, CA 94117, USA.
Kate F PlourdeResearch Utilization, Global Health Population and Nutrition, FHI 360, 359 Blackwell Street, Suite 200, Durham, NC 27701, USA.
Trinity ZanResearch Utilization, Global Health Population and Nutrition, FHI 360, 359 Blackwell Street, Suite 200, Durham, NC 27701, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe research base recommending the use of mobile phone interventions for health improvement is growing at a rapid pace. The use of mobile phones to deliver health behavior change and maintenance interventions in particular is gaining a robust evidence base across geographies, populations, and health topics. However, research on best practices for successfully scaling mHealth interventions is not keeping pace, despite the availability of frameworks for adapting and scaling health programs.

methodsm4RH-Mobile for Reproductive Health-is an SMS, or text message-based, health information service that began in two countries and over a period of 7 years has been adapted and scaled to new population groups and new countries. Success can be attributed to following key principles for scaling up health programs, including continuous stakeholder engagement; ongoing monitoring, evaluation, and research including extensive content and usability testing with the target audience; strategic dissemination of results; and use of marketing and sustainability principles for social initiatives. This article investigates how these factors contributed to vertical, horizontal, and global scale-up of the m4RH program.

resultsVertical scale of m4RH is demonstrated in Tanzania, where the early engagement of stakeholders including the Ministry of Health catalyzed expansion of m4RH content and national-level program reach. Ongoing data collection has provided real-time data for decision-making, information about the user base, and peer-reviewed publications, yielding government endorsement and partner hand-off for sustainability of the m4RH platform. Horizontal scale-up and adaptation of m4RH has occurred through expansion to new populations in Rwanda, Uganda, and Tanzania, where best practices for design and implementation of mHealth programs were followed to ensure the platform meets the needs of target populations. m4RH also has been modified and packaged for global scale-up through licensing and toolkit development, research into new business/distribution models, and serving as the foundation for derivative NGO and quasi-governmental mHealth platforms.

conclusionsThe m4RH platform provides an excellent case study of how to apply best practices to successfully scale up mobile phone interventions for health improvement. Applying principles of scale can inform the successful scale-up, sustainability, and potential impact of mHealth programs across health topics and settings.

Indexed as

adaptationmHealthscale-upstakeholderstext messaging

Identifiers

PMID28567408
PMCPMC5427190

What OpenQuestion holds

Textmetadata
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.