Evidence map›Paper›PMID 39402567›Full record

ArticleImplementation science : IS2024

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 readScoping Review
In one paragraph

Article in Implementation science : IS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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. twilson@must.ac.ug.ORCID 0000-0003-1895-9255
Stefanie TheuringInstitute of International Health, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität Zu Berlin, Berlin, Germany.
Fred KaggwaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.
Esther C AtukundaFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
John RubaihayoFaculty of Health Sciences, John Rubaihayo, Mountains of the Moon University, Fort Portal, Uganda.
Daniel AtwineSoar Research Foundation, Mbarara, Uganda.
Juliet N SekandiGlobal Health Institute, University of Georgia, Georgia, USA.
Angella MusiimentaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.

Funding

Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Neel Rajnikant Gandhi, Jyothi Rengarajan · 2022 to 2026
$5.8M
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
Eunice Kennedy Shriver National Institute of Child Health and Human Development R21HD107985NIAID NIH HHS P30 AI168386NICHD NIH HHS R01 HD111692NICHD NIH HHS R21 HD107985
6 · The paper itself

Abstract

backgroundAlthough 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.

methodsWe searched the PubMed, Google Scholar, and ScienceDirect databases for published theories, models, and frameworks related to the implementation and integration of clinical interventions from 1st January 2000 to 31st December 2023. The data processing was guided by a scoping review methodology proposed by Arksey and O'Malley. Studies were included if they were i) peer-reviewed and published between 2000 and 2023, ii) explicitly described a framework for clinical intervention implementation and integration, or iii) available in full text and published in English. We integrated different domains and constructs from the reviewed frameworks to develop a new framework for implementing and integrating mHealth interventions.

resultsWe 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.

conclusionThe TRIMI framework presents a realistic and realizable solution for the implementation and integration deficits of mHealth interventions in low-resource settings.

Indexed as

TelemedicineDeveloping CountriesHealth ResourcesHumansImplementation ScienceResource-Limited SettingsFrameworkImplementationIntegrationMHealthResource-limited settings

Identifiers

PMID39402567
PMCPMC11476919

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.