Evidence map›Paper›PMID 41719539›Full record

ArticleJMIR mHealth and uHealth2026

Adapting and Validating Tools to Assess the Usability and Acceptability of mHealth Tools Among Community Health Workers in Rural Settings: Development and Usability Study.

Jonathan Nkurunziza, Sarah Nuss, Eve Hiyori Estrada, Marthe Kubwimana, Adeline Adwoa Boatin, Laban Bikorimana, Richard Ribon Fletcher, Nissi Byiringiro, Bethany Hedt-Gauthier, Vincent Kalumire Cubaka

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Jonathan NkurunzizaPartners In Health, Rwanda, Kigali, Rwanda.ORCID 0000-0001-9952-9921
Sarah NussProgram in Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-8608-6874
Eve Hiyori EstradaDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.ORCID 0009-0004-6129-8725
Marthe KubwimanaPartners In Health, Rwanda, Kigali, Rwanda.ORCID 0009-0005-3015-2405
Adeline Adwoa BoatinProgram in Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-3420-7846
Laban BikorimanaPartners In Health, Rwanda, Kigali, Rwanda.ORCID 0000-0001-6547-8310
Richard Ribon FletcherDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.ORCID 0000-0001-8470-8417
Nissi ByiringiroInsightiv LTD, Kigali, Rwanda.ORCID 0009-0003-6046-7438
Bethany Hedt-Gauthier *Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-9689-5413
Vincent Kalumire Cubaka *Partners In Health, Rwanda, Kigali, Rwanda.ORCID 0000-0001-7449-2421

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
mHealth-Community Health Worker tool for comprehensive post-cesarean follow-up in rural RwandaR21HD103052 · NICHD · HARVARD MEDICAL SCHOOL · PI HEDT-GAUTHIER, BETHANY · 2021 to 2022
$415k
FIC NIH HHS D43 TW010543NICHD NIH HHS R21 HD103052
6 · The paper itself

Abstract

backgroundMobile health (mHealth) apps are increasingly leveraged to support community health workers (CHWs) in delivering high-quality care, particularly in low- and middle-income countries. However, despite the proliferation of mHealth tools, few have been implemented at scale, partly due to limited attention to usability and acceptability among end users. In sub-Saharan Africa, mHealth tools designed for CHWs often lack systematic evaluation using validated instruments tailored to local contexts. Without such assessments, it is difficult to ensure that these tools can be integrated effectively into CHW workflows and scaled sustainably.

objectiveThis study aimed to adapt and validate existing mHealth usability and acceptability assessment tools to be contextually appropriate for CHWs in Rwanda. Specifically, we sought to ensure contextual appropriateness for CHWs supporting postoperative home follow-up for women after cesarean delivery. The resulting tool was designed for use in an implementation study of a novel CHW-led mHealth app.

methodsThis study was conducted in the Kirehe district, Rwanda, from October 2022 to March 2023. We adapted 2 established tools-the mHealth App Usability Questionnaire and selected items from the Practitioner Opinion (Acceptability) Scale-and added new items that reflect core functions of the CHW-focused mHealth app. All items were translated into Kinyarwanda and simplified to align with CHWs' educational levels. We conducted a three-stage validation that consisted of (1) content validity testing with 8 local and international experts using a recommended content validity index threshold of >0.78; (2) face validity testing with 10 CHWs using a recommended face validity index threshold of ≥0.60; and (3) reliability testing using responses from 30 CHWs, with a Cronbach α coefficient of ≥0.70 indicating acceptable internal consistency.

resultsOf the 25 items assessed, 22 (88%) achieved a content validity index score of >0.78 for both clarity and relevance. The face validity index across all 22 items was 0.991, indicating strong comprehensibility and relevance to CHWs. Internal consistency was high: the Cronbach α was 0.86 for the mHealth App Usability Questionnaire items, 0.73 for the Practitioner Opinion (Acceptability) Scale items, and 0.87 for the newly developed questions. The final tool-named the Community Health Worker mHealth Usability and Acceptability Assessment Tool-included 22 items with strong content validity, face validity, and internal reliability.

conclusionsThis study presents a rigorously adapted and validated tool for assessing mHealth usability and acceptability among CHWs in Rwanda. The Community Health Worker mHealth Usability and Acceptability Assessment Tool can guide future evaluations of mHealth interventions in similar contexts and serve as a model for localizing mHealth assessment tools in low- and middle-income country settings to ensure fit-for-purpose implementation.

Indexed as

Community Health WorkersMobile ApplicationsAdultDigital HealthFemaleHumansMalePsychometricsReproducibility of ResultsRural PopulationRwandaSurveys and QuestionnairesTelemedicineacceptabilityadaptation and validationAfricacommunity health workersdigital healthglobal surgerymobile healthusability

Identifiers

PMID41719539
PMCPMC12966820

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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 Socratic graph.