Evidence map›Paper›PMID 41875358›Full record

ArticleJMIR research protocols2026

Assessing the Implementation and Potential Effects of the Nishauri mHealth Intervention on HIV Care Among Men in Homa Bay County, Kenya: Protocol for a Mixed Methods Study.

Dan Omollo, Pamela Murnane, Louisa Ndunyu, Dallas Swendeman, Sheri D Weiser, Collins Ouma

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

6 authors.

Dan OmolloDepartment of Epidemiology and Biostatistics, Global Health Institute, University of California, San Francisco, 590 Minnesota, San Fransisco, CA, 94107, United States, 1 6282463634.ORCID 0000-0002-2718-6576
Pamela MurnaneDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-3773-5831
Louisa NdunyuDepartment of Public Health, School of Public Health and Community Development, Maseno University, Kisumu, Kenya.ORCID 0009-0004-9706-3979
Dallas SwendemanSemel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-4570-6352
Sheri D WeiserDepartment of Medicine, University of California, San Francisco, San Fransisco, CA, United States.ORCID 0000-0002-7807-4072
Collins OumaSchool of Public Health and Community Development, Maseno University, Kisumu, Kenya.ORCID 0000-0001-8205-8887

Funding

University of California Launching Future Leaders in Global Health Research Training ProgramD43TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIG R COHEN, Sung-Jae Lee · 2017 to 2026
$14.7M
FIC NIH HHS D43 TW009343
6 · The paper itself

Abstract

Background: About 2.4% of Kenyan people (approximately 1.3 million people) are living with HIV. Despite advances in antiretroviral therapy, men continue to experience disproportionately poor engagement in HIV care due to entrenched masculine norms, stigma, and lack of tailored interventions. Mobile health (mHealth) platforms offer a promising strategy to improve care engagement, but evidence on its implementation and impact among men living with HIV is limited. Objective: This study aims to assess the implementation and potential effects of the Nishauri mHealth intervention on HIV care and treatment outcomes among men in Western Kenya. Specifically, it seeks to (1) analyze its effects on HIV care engagement and treatment outcomes, (2) explore the role of masculine identity in modifying acceptability and uptake, and (3) identify barriers and facilitators of adoption, use, and sustainment. Methods: We will use a mixed methods design combining a stepped-wedge cluster approach and a pre- and postimplementation assessment across 4 health facilities in Homa Bay County, Kenya. Approximately 347 men receiving HIV treatment who own a smartphone will be enrolled. The stepped-wedge design will sequentially introduce the intervention across the 4 facilities in 2-month intervals following baseline assessments, allowing each site to serve as its own control. Surveys will collect data on sociodemographics, masculinity, intervention acceptability and uptake, and HIV clinical outcomes using validated measures. Intervention effects on pre- and postbinary outcomes will be assessed using the McNemar test, while generalized estimating equations (α=.05; β=.2; 95% CI) will account for clustering and repeated measures in the stepped-wedge analysis. Focus group discussions (n=5-6) will be conducted with men living with HIV, health care providers, and app developers to explore barriers and facilitators of implementation and adoption. Focus group discussions will be audio-recorded, transcribed, coded, and analyzed thematically. Results: This study received institutional review board approval in July 2025 and was registered on ClinicalTrials.gov in August 2025. Recruitment began in September 2025 and concluded in November 2025. A total of 307 men living with HIV were recruited across the 4 clinics for the pre- and postquantitative assessment. Preliminary findings will describe implementation outcomes and early effects on HIV care engagement. Conclusions: This trial will use a stepped-wedge design to evaluate the implementation and effects of the Nishauri mHealth intervention on antiretroviral therapy adherence and clinic attendance among men in Homa Bay County. By examining both clinical outcomes and the influence of masculine norms on intervention uptake, it will provide robust evidence on the effectiveness of mHealth strategies tailored for men in low-resource, high-HIV-burden settings. Findings will inform the design, scalability, and optimization of similar interventions by identifying key implementation barriers and facilitators.

Indexed as

HIV InfectionsTelemedicineAdherence InterventionsAdultClinical Trials as TopicHumansKenyaMaleMen's Health ServicesPatient Acceptance of Health CareResearch DesignHIV careimplementationKenyamasculinitymen living with HIVmHealthmobile healthNishauri

Identifiers

PMID41875358
PMCPMC13012606

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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 OpenQuestion graph.