{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T01:32:59Z","timestamp":1789435979609,"version":"build-2803163510"},"reference-count":69,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Form Res"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>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).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study examines the acceptance and its influencing factors of treatment-supportive mobile apps among men living with HIV.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      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 (\u03b2=\u22120.27;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001); health literacy regarding disease (\u03b2=0.11;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001); eHealth literacy (\u03b2=0\n                      <jats:italic>.<\/jats:italic>\n                      10;\n                      <jats:italic>P<\/jats:italic>\n                      =.001); internet anxiety (\u03b2=\u22120\n                      <jats:italic>.<\/jats:italic>\n                      18;\n                      <jats:italic>P<\/jats:italic>\n                      =.04); and the UTAUT predictors: effort expectancy (\u03b2=0\n                      <jats:italic>.<\/jats:italic>\n                      38;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001), performance expectancy (\u03b2=0\n                      <jats:italic>.<\/jats:italic>\n                      24;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001), and social influence (\u03b2\n                      <jats:italic>=<\/jats:italic>\n                      0.40;\n                      <jats:italic>P<\/jats:italic>\n                      &lt;.001). The UTAUT model explained 72% of the variance in acceptance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/83065","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:21:57Z","timestamp":1770754917000},"page":"e83065-e83065","source":"Crossref","is-referenced-by-count":1,"title":["Acceptance of Men Living With HIV Toward Treatment-Supportive Mobile Apps Using the Unified Theory of Acceptance and Use of Technology: Cross-Sectional Study"],"prefix":"10.2196","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2216-4351","authenticated-orcid":false,"given":"Fabian","family":"Kempen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2101-8553","authenticated-orcid":false,"given":"Ranujan","family":"Chandrakumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3625-9650","authenticated-orcid":false,"given":"Stefan","family":"Esser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2676-1345","authenticated-orcid":false,"given":"Lisa Maria","family":"Jahre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2120-1840","authenticated-orcid":false,"given":"Martin","family":"Teufel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1488-8592","authenticated-orcid":false,"given":"Alexander","family":"B\u00e4uerle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,2,10]]},"reference":[{"key":"R1","unstructured":"HIV data and statistics. 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