The Latinx population in the United States is disproportionately affected by HIV. Our community-based participatory research partnership developed, implemented and evaluated a Spanish-language peer navigation intervention designed to increase HIV testing and condom use among social networks of immigrant Spanish-speaking Latinx gay, bisexual and other men who have sex with men (GBMSM) and transgender women (TW). We randomized 21 social networks of Latinx GBMSM and TW, ages 18–55 years, to the intervention, known as HOLA, or a waitlist control group. Social network participants (n = 166) completed structured assessments at baseline and 12-month follow-up (24 months after baseline). Follow-up retention was 95%. Individual in-depth interviews with a sample of participants documented their intervention-related experiences, needs, and priorities to inform future research. At follow-up, HOLA participants reported increased HIV testing (adjusted odds ratio = 8.3; 95% CI = 3.0–23.0; P < 0.0001). All study participants reported increased condom use; there was no significant difference between HOLA and waitlist control participants. In-depth interviews identified critical intervention elements and impacts and community needs and priorities. The HOLA intervention is effective for increasing HIV testing among Latinx GBMSM and TW, an initial step within the HIV prevention and care continua, and may be adaptable to promote pre-exposure prophylaxis uptake.

Young gay, bisexual, and other men who have sex with men and transgender women with HIV, particularly those who are racial or ethnic minorities, often have poor health outcomes. They also utilize a wide array of social media. Accordingly, we developed and implemented weCare, an mHealth (mobile health) intervention where cyberhealth educators utilize established social media platforms (e.g., Facebook, texting, and GPS-based mobile applications [“apps”]) designed for social and sexual networking) to improve HIV-related care engagement and health outcomes. As part of the process evaluation of weCare, we conducted 32 interviews with intervention participants ( n = 18) and HIV clinic providers and staff ( n = 14). This article highlights three key intervention characteristics that promoted care engagement, including that weCare is (1) targeted (e.g., using existing social media platforms, similarity between intervention participants and cyberhealth educator, and implementation within a supportive clinical environment), (2) tailored (e.g., bidirectional messaging and trusting relationship between participants and cyberhealth educators to direct interactions), and (3) personalized (e.g., addressing unique care needs through messaging content and flexibility in engagement with intervention). In addition, interviewees’ recommendations for improving weCare focused on logistics, content, and the ways in which the intervention could be adapted to reach a larger audience. Quality improvement efforts to ensure that mHealth interventions are relevant for young gay, bisexual, and other men who have sex with men and transgender women are critical to ensure care engagement and support health outcomes.

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Gay, bisexual, and other men who have sex with men (GBMSM) have higher rates of HIV infection compared to the general population in the United States, and the infection rate is growing among Latinx GBMSM, compared to a decline in most other demographic subgroups. Uptake of pre-exposure prophylaxis (PrEP), a biomedical strategy designed to reduce HIV transmission, is very low among Latinx GBMSM. HIV testing is a critical first step in the HIV prevention and care continua. We analyzed data from a community-based sample of Latinx GBMSM in the southeastern United States to identify the most common HIV testing barriers and the factors associated with barriers. The five most commonly reported HIV testing barriers included not knowing where to get tested, not having health insurance, fear of being HIV positive, practicing safer sex and perceiving not needing to be tested, and not being recommended to get tested. Using multivariable logistic regression modeling, speaking only Spanish, being unemployed, and adhering to traditional notions of masculinity were associated with increased barriers to HIV testing. We recommend that interventions to increase HIV testing among Latinx GBMSM be provided in Spanish and use culturally congruent messaging, be accessible to those who are unemployed, and incorporate positive risk-reducing aspects of masculinity. AbstractGay, bisexual, and other men who have sex with men (GBMSM) have higher rates of HIV infection compared to the general population in the United States, and the infection rate is growing among Latinx GBMSM, compared to a decline in most other demographic subgroups.

PositiveLinks (PL) is a multi-feature smartphone-based platform to improve engagement-in-care and viral suppression (VS) among clinic patients living with HIV. Features include medication reminders, mood/stress check-ins, a community board, and secure provider messaging. Our goal was to examine how PL users interact with the app and determine whether usage patterns correlate with clinical outcomes. Patients (N = 83) at a university-based Ryan White clinic enrolled in PL from June 2016 to March 2017 and were followed for up to 12 months. A subset (N = 49) completed interviews after 3 weeks of enrollment to explore their experiences with and opinions of PL. We differentiated PL members based on 6-month usage of app features using latent class analysis. We explored characteristics associated with class membership, compared reported needs and preferences by class, and examined association between class and VS. The sample of 83 PL members fell into four classes. “Maximizers” used all app features frequently (27%); “Check-in Users” tended to interact only with daily queries (22%); “Moderate All-Feature Users” used all features occasionally (33%); and “As-Needed Communicators” interacted with the app minimally (19%). VS improved or remained high among all classes after 6 months. VS remained high at 12 months among Maximizers (baseline and 12-month VS: 100%, 94%), Check-in Users (82%, 100%), and Moderate All-Feature Users (73%, 94%) but not among As-Needed Communicators (69%, 60%). This mixed-methods study identified four classes based on PL usage patterns that were distinct in characteristics and clinical outcomes. Identifying and characterizing mHealth user classes offers opportunities to tailor interventions appropriately based on patient needs and preferences as well as to provide targeted alternative support to achieve clinical goals.