%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 24
%N 2
%P e34574
%T Behavioral Efficacy of a Sexual Health Mobile App for Men Who Have Sex With Men: Randomized Controlled Trial of Mobile Messaging for Men
%A Sullivan,Patrick Sean
%A Stephenson,Rob
%A Hirshfield,Sabina
%A Mehta,Cyra Christina
%A Zahn,Ryan
%A Bauermeister,Jose A
%A Horvath,Keith
%A Chiasson,Mary Ann
%A Gelaude,Deborah
%A Mullin,Shelby
%A Downing Jr,Martin J
%A Olansky,Evelyn Jolene
%A Wiatrek,Sarah
%A Rogers,Erin Q
%A Rosenberg,Eli
%A Siegler,Aaron J
%A Mansergh,Gordon
%+ Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, United States, 1 404 210 6039, pssulli@emory.edu
%K HIV prevention
%K mHealth
%K tool
%K video
%K randomized clinical trial
%K app
%K prevention
%K HIV
%K PrEP
%K STI
%K testing
%K behavior
%K efficacy
%K men who have sex with men
%K MSM
%K sexuality
%K gay
%K bisexual
%K United States
%D 2022
%7 2.2.2022
%9 Original Paper
%J J Med Internet Res
%G English
%X Background: Gay, bisexual, and other men who have sex with men (GBMSM) face the highest burden of HIV in the United States, and there is a paucity of efficacious mobile health (mHealth) HIV prevention and care interventions tailored specifically for GBMSM. We tested a mobile app combining prevention messages and access to core prevention services for GBMSM. Objective: This study aims to measure the efficacy of the Mobile Messaging for Men (M-cubed) app and related services to increase HIV prevention and care behaviors in diverse US GBMSM. Methods: We conducted a randomized open-label study with a waitlist control group among GBMSM in 3 groups (low-risk HIV-negative group, high-risk HIV-negative group, and living-with-HIV [LWH] group) recruited online and in venues in Atlanta, Detroit, and New York City. Participants were randomly assigned to receive access to the app immediately or at 9 months after randomization. The app provided prevention messages in 6 domains of sexual health and offered ordering of at-home HIV and sexually transmitted infection test kits, receiving preexposure prophylaxis (PrEP) evaluations and navigation, and service locators. Serostatus- and risk-specific prevention outcomes were evaluated at baseline, at the end of the intervention period, and at 3, 6, and 9 months after the intervention period. Results: In total, 1226 GBMSM were enrolled and randomized; of these 611 (49.84%) were assigned to the intervention group and 608 (99.51%) were analyzed, while 615 (50.16%) were assigned to the control group and 612 (99.51%) were analyzed.  For high-risk GBMSM, allocation to the intervention arm was associated with higher odds of HIV testing during the intervention period (adjusted odds ratio [aOR] 2.02, 95% CI 1.11-3.66) and with higher odds of using PrEP in the 3 months after the intervention period (aOR 2.41, 95% CI 1.00-5.76, P<.05). No changes in HIV prevention or care were associated with allocation to the intervention arm for the low-risk HIV-negative and LWH groups. Conclusions: Access to the M-cubed app was associated with increased HIV testing and PrEP use among high-risk HIV-negative GBMSM in 3 US cities. The app could be made available through funded HIV prevention providers; additional efforts are needed to understand optimal strategies to implement the app outside of the research setting. Trial Registration: ClinicalTrials.gov NCT03666247; https://clinicaltrials.gov/ct2/show/NCT03666247 International Registered Report Identifier (IRRID): RR2-10.2196/16439 
%M 35025755
%R 10.2196/34574
%U https://www.jmir.org/2022/2/e34574
%U https://doi.org/10.2196/34574
%U http://www.ncbi.nlm.nih.gov/pubmed/35025755