Evidence map›Paper›PMID 41666306›Full record

ArticleJMIR formative research2026

Acceptance of Men Living With HIV Toward Treatment-Supportive Mobile Apps Using the Unified Theory of Acceptance and Use of Technology: Cross-Sectional Study.

Fabian Kempen, Ranujan Chandrakumar, Stefan Esser, Lisa Maria Jahre, Martin Teufel, Alexander Bäuerle

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Article in JMIR formative research, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fabian KempenClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Virchowstr., 174, Essen, 45147, Germany, +49 201 43 87 55 2.ORCID 0009-0001-2216-4351
Ranujan ChandrakumarClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Virchowstr., 174, Essen, 45147, Germany, +49 201 43 87 55 2.ORCID 0009-0009-2101-8553
Stefan EsserDepartment of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-3625-9650
Lisa Maria JahreClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Virchowstr., 174, Essen, 45147, Germany, +49 201 43 87 55 2.ORCID 0000-0003-2676-1345
Martin TeufelClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Virchowstr., 174, Essen, 45147, Germany, +49 201 43 87 55 2.ORCID 0000-0003-2120-1840
Alexander BäuerleClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Virchowstr., 174, Essen, 45147, Germany, +49 201 43 87 55 2.ORCID 0000-0003-1488-8592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite a 40-year prevalence of HIV, the AIDS epidemic prevails. Effective AIDS treatment requires specialist care and high adherence often hindered by structural issues in care access. Innovative eHealth solutions like treatment-supportive mobile apps can help address these issues. Successful implementation depends on user acceptance. Acceptance can be operationalized as behavioral intention and measured through the Unified Theory of Acceptance and Use of Technology (UTAUT). Objective: This study examines the acceptance and its influencing factors of treatment-supportive mobile apps among men living with HIV. Methods: A cross-sectional study was conducted among 172 men living with HIV between September 2021 and April 2024. In addition to the collection of sociodemographic, medical, and eHealth-related data, acceptance and its influencing factors were assessed by applying the UTAUT model. A multiple hierarchical regression analysis was conducted. Results: High acceptance of treatment-supportive mobile apps in men living with HIV was reported by 45.3% (n=78) of the participants. Significant predictors of acceptance were age (β=-0.27; P<.001); health literacy regarding disease (β=0.11; P<.001); eHealth literacy (β=0.10; P=.001); internet anxiety (β=-0.18; P=.04); and the UTAUT predictors: effort expectancy (β=0.38; P<.001), performance expectancy (β=0.24; P<.001), and social influence (β=0.40; P<.001). The UTAUT model explained 72% of the variance in acceptance. Conclusions: Since the acceptance of eHealth services is a reliable indicator of the actual usage behavior, the results of this study are a promising basis for the successful implementation of eHealth offerings in the group of men living with HIV.

Indexed as

HIV InfectionsMobile ApplicationsPatient Acceptance of Health CareAdultCross-Sectional StudiesDigital HealthHumansMaleMiddle AgedSurveys and QuestionnairesTelemedicineeHealthHIVmHealthmobile appmobile healthpeople living with HIVtelemedicineUnified Theory of Acceptance and Use of TechnologyUTAUT

Identifiers

PMID41666306
PMCPMC12890214

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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.