Evidence map›Paper›PMID 39070627›Full record

ArticleResearch square2024

Enhancing the Implementation and Integration of mHealth Interventions in Resource-Limited Settings: A Scoping Review.

Wilson Tumuhimbise, Stefanie Theuring, Fred Kaggwa, Esther C Atukunda, John Rubaihayo, Daniel Atwine, Juliet N Sekandi, Angella Musiimenta

Abstract readPreprintScoping Review
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Wilson TumuhimbiseFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara Uganda.ORCID 0000-0003-1895-9255
Stefanie TheuringInstitute of International Health, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Germany.ORCID 0000-0002-5372-7903
Fred KaggwaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara Uganda.ORCID 0000-0001-8951-3352
Esther C AtukundaFaculty of Medicine, Mbarara University of Science and Technology, Mbarara Uganda.ORCID 0000-0002-0045-0138
John RubaihayoFaculty of Health Sciences, Mountains of the Moon University, Fort Portal, Uganda.ORCID 0000-0002-3421-2242
Daniel AtwineSoar Research Foundation, Mbarara, Uganda.ORCID 0000-0002-3373-1999
Juliet N SekandiGlobal Health Institute, University of Georgia, Georgia, USA.ORCID 0000-0003-2430-1396
Angella MusiimentaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara Uganda, Angels Compassion Research and Development Initiative, Mbarara Uganda.ORCID 0000-0003-1983-696X

Funding

Integration of a patient-centered mobile health intervention (Support-Moms) into routine antenatal care to improve maternal health in UgandaR01HD111692 · NICHD · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI Esther Cathyln Atukunda · 2023 to 2026
$1.9M
My Mobile Wallet: An Intervention to Support Access to Tuberculosis Care and Medication Adherence in Rural UgandaR21HD107985 · NICHD · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI MUSIIMENTA, ANGELLA · 2021 to 2022
$309k
NICHD NIH HHS R01 HD111692NICHD NIH HHS R21 HD107985
6 · The paper itself

Abstract

Background: Although mobile health (mHealth) interventions have shown promise in improving health outcomes, most of them rarely translate to scale. Prevailing mHealth studies are largely small-sized, short-term and donor-funded pilot studies with limited evidence on their effectiveness. To facilitate scale-up, several frameworks have been proposed to enhance the generic implementation of health interventions. However, there is a lack of a specific focus on the implementation and integration of mHealth interventions in routine care in low-resource settings. Our scoping review aimed to synthesize and develop a framework that could guide the implementation and integration of mHealth interventions. Methods: We searched the PubMed, Google Scholar, and ScienceDirect databases for published theories, models, and frameworks related to the implementation and integration of clinical interventions from 1 Results: We identified eight eligible papers with eight frameworks composed of 102 implementation domains. None of the identified frameworks were specific to the integration of mHealth interventions in low-resource settings. Two constructs (skill impartation and intervention awareness) related to the training domain, four constructs (technical and logistical support, identifying committed staff, supervision, and redesigning) from the restructuring domain, two constructs (monetary incentives and nonmonetary incentives) from the incentivize domain, two constructs (organizational mandates and government mandates) from the mandate domain and two constructs (collaboration and routine workflows) from the integrate domain. Therefore, a new framework that outlines five main domains-train, restructure, incentivize, mandate, and integrate (TRIMI)-in relation to the integration and implementation of mHealth interventions in low-resource settings emerged. Conclusion: The TRIMI framework presents a realistic and realizable solution for the implementation and integration deficits of mHealth interventions in low-resource settings.

Indexed as

frameworkimplementationintegrationmHealthresource-limited settings

Identifiers

PMID39070627
PMCPMC11275990

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.