Evidence map›Paper›PMID 32673262›Full record

Trial reportJMIR mHealth and uHealth2020

Implementing mHealth Interventions in a Resource-Constrained Setting: Case Study From Uganda.

Amanda J Meyer, Mari Armstrong-Hough, Diana Babirye, David Mark, Patricia Turimumahoro, Irene Ayakaka, Jessica E Haberer, Achilles Katamba, J Lucian Davis

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 2% of its field
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Amanda J MeyerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0003-2318-1783
Mari Armstrong-HoughUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.ORCID 0000-0001-6947-4528
Diana BabiryeUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.ORCID 0000-0002-8525-0927
David MarkUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.ORCID 0000-0002-0647-9046
Patricia TurimumahoroUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.ORCID 0000-0003-1910-8559
Irene AyakakaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.ORCID 0000-0003-1051-5684
Jessica E HabererMassachusetts General Hospital and Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-5845-3190
Achilles KatambaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.ORCID 0000-0002-2347-4183
J Lucian DavisDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0002-8629-9992
Makerere University · UGYale University · USHarvard University · USNew York University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Mobile Health for Implementation of Home-based TB Contact Investigation in UgandaR01AI104824 · NIAID · YALE UNIVERSITY · PI DAVIS, JOHN LUCIAN · 2013 to 2023
$6.7M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI104824
6 · The paper itself

Abstract

backgroundMobile health (mHealth) interventions are becoming more common in low-income countries. Existing research often overlooks implementation challenges associated with the design and technology requirements of mHealth interventions.

objectiveWe aimed to characterize the challenges that we encountered in the implementation of a complex mHealth intervention in Uganda.

methodsWe customized a commercial mobile survey app to facilitate a two-arm household-randomized, controlled trial of home-based tuberculosis (TB) contact investigation. We incorporated digital fingerprinting for patient identification in both study arms and automated SMS messages in the intervention arm only. A local research team systematically documented challenges to implementation in biweekly site visit reports, project management reports, and minutes from biweekly conference calls. We then classified these challenges using the Consolidated Framework for Implementation Research (CFIR).

resultsWe identified challenges in three principal CFIR domains: (1) intervention characteristics, (2) inner setting, and (3) characteristics of implementers. The adaptability of the app to the local setting was limited by software and hardware requirements. The complexity and logistics of implementing the intervention further hindered its adaptability. Study staff reported that community health workers (CHWs) were enthusiastic regarding the use of technology to enhance TB contact investigation during training and the initial phase of implementation. After experiencing technological failures, their trust in the technology declined along with their use of it. Finally, complex data structures impeded the development and execution of a data management plan that would allow for articulation of goals and provide timely feedback to study staff, CHWs, and participants.

conclusionsmHealth technologies have the potential to make delivery of public health interventions more direct and efficient, but we found that a lack of adaptability, excessive complexity, loss of trust among end users, and a lack of effective feedback systems can undermine implementation, especially in low-resource settings where digital services have not yet proliferated. Implementers should anticipate and strive to avoid these barriers by investing in and adapting to local human and material resources, prioritizing feedback from end users, and optimizing data management and quality assurance procedures.

trial registrationPan-African Clinical Trials Registration PACTR201509000877140; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=877.

Indexed as

Cell PhoneTelemedicineDelivery of Health CareHumansQualitative ResearchUgandaappconsolidated framework for implementation scienceframeworkimplementationinterventionmHealthtuberculosisUganda

Identifiers

PMID32673262
PMCPMC7385635
OpenAlexW3036897140

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.