The Association between Use of Online Social Networks to Find Sex Partners and Sexually Transmitted Infection Diagnosis among Young Men Who Have Sex with Men and Transgender Women Living with HIV.

We conducted a cross-sectional analysis of baseline data from the Adolescent Trials Network for HIV/AIDS Interventions to examine the association between the use of social media sites to find sex partners and recent diagnosis of sexually transmitted infections (STIs) among 13- to 24-year-old men who have sex with men and transgender women living with HIV. We used linear regression to determine the relationship between the number of STIs and the number of social media sites used to find sex partners with each type of sex act included in the analysis. Secondary analyses substituted frequency of social media site use for number of social media sites. Among 741 participants, for every 1 social media account used to find sex partners, there was a 2.53% (95% confidence interval: 0.28-5.54) increase in STIs. This association was mediated through condomless receptive anal intercourse or condomless insertive anal intercourse but not barrierless oral intercourse. Similar but attenuated associations were found when frequency of social media site use was substituted for number of social media sites. Future research should examine innovative interventions on these social media sites with respect for its users

Mobile apps for HIV prevention: how do they contribute to our epidemic response for adolescents and young adults?

Mobile health (mHealth) tools to address the HIV epidemic have proliferated in recent years. Yet when applied to the United States (US) epidemic, which is driven by new HIV infections among men who have sex with men (MSM), it is not clear how mHealth tools fit in the overall portfolio of biobehavioral prevention interventions and clinical services proven to be efficacious. Adolescent and young adult MSM are particularly vulnerable and reducing HIV incidence among this priority population will require substantial levels of uptake of multiple prevention strategies (i.e., HIV testing, condom use, sexually transmitted infection (STI) testing, pre-exposure prophylaxis (PrEP), and treatment for those with HIV infection). Starting from the premise that adolescents are avid consumers of technology, this paper considers the particular strengths and opportunities of mHealth tools to address HIV prevention and provides examples of mHealth approaches that have been tested or are in development in these areas. Even after mHealth interventions are proven effective, there will be important intervening steps before such tools can be deployed and integrated into existing prevention programs given the diverse landscape of prevention service delivery. We anticipate some of the likely barriers to broad implementation of proven mHealth interventions in the context of the US public health funding and service delivery infrastructure and provide recommendations to increase efforts for future scale-up and dissemination

Engagement in mHealth behavioral interventions for HIV prevention and care: making sense of the metrics

BACKGROUND: Engagement is the primary metric by which researchers can assess whether participants in a mHealth intervention used and interacted with the intervention's content as intended over a pre-specified period to result in behavior change. Paradata, defined as the process data documenting users' access, participation, and navigation through a mHealth intervention, have been associated with differential treatment outcomes in mHealth interventions. Within behavioral mHealth interventions, there has been an increase in the number of studies addressing the HIV prevention and care continuum in recent years, yet few have presented engagement metrics or examined how these data could inform design modifications, promote continued engagement, and supplement primary intervention efficacy and scale-up efforts. METHODS: We review common paradata metrics in mHealth interventions (e.g., amount, frequency, duration and depth of use), using case studies from four technology-driven HIV interventions to illustrate their utility in evaluating mHealth behavioral interventions for HIV prevention and care. Across the four case studies, participants' ages ranged between 15 and 30 years and included a racially and ethnically diverse sample of youth. The four case studies had different approaches for engaging young men who have sex with men: a tailored brief intervention, an interactive modular program, a daily tool to monitor and self-regulate treatment adherence, and an online platform promoting social engagement and social support. Each focused on key outcomes across the HIV prevention and care continuum [e.g., safer sex behaviors, HIV testing, antiretroviral therapy (ART) adherence] and collected paradata metrics systematically. RESULTS: Across the four interventions, paradata was utilized to identify patterns of use, create user profiles, and determine a minimum engagement threshold for future randomized trials based on initial pilot trial data. Evidence of treatment differences based on paradata analyses were also observed in between-arm and within-arm analyses, indicating that intervention exposure and dosage might influence the strength of the observed intervention effects. Paradata reflecting participants' engagement with intervention content was used to suggest modifications to intervention design and navigation, to understand what theoretically-driven content participants chose to engage with in an intervention, and to illustrate how engagement was linked to HIV-related outcomes. CONCLUSIONS: Paradata monitoring and reporting can enhance the rigor of mHealth trials. Metrics of engagement must be systematically collected, analyzed and interpreted to meaningfully understand a mHealth intervention's efficacy. Future mHealth trials should work to identify suitable engagement metrics during intervention development, ensure their collection throughout the trial, and evaluate their impact on trial outcomes

Technology-driven methodologies to collect qualitative data among youth to inform HIV prevention and care interventions

The use of technology as a platform for delivering HIV prevention interventions provides an efficient opportunity to reach those at risk for HIV with targeted and timely prevention and treatment messages. Technology-delivered HIV interventions are becoming increasingly popular and include interventions that use mobile text messaging and mobile phone apps or deliver prevention messages through telehealth platforms. Community-centered approaches of intervention development can help address the potential gap between science and practice by ensuring that interventions are appropriate and driven by community needs and desires. Common approaches to gaining community input rely on qualitative data gathered through in-person focus group discussions (FGD), in-depth interviews (IDI) and youth advisory boards (YABs). While these proven methodologies have strengths, youth engagement can be limited by structural barriers (e.g., lack of transportation, inconvenient timing) and reluctance to participate due to stigma or discomfort with group settings. This results in a number of biases that limit the quality of face-to-face qualitative data collection, i.e., social desirability bias or selection biases created by differential likelihood of recruitment and attendance. As an increasing number of HIV prevention and care interventions are successfully delivered online, innovative approaches to youth engagement in virtual spaces can also be applied across the intervention lifespan to increase the quality and validity of formative data. In this paper, we describe a range of qualitative data collection techniques that can be used via online platforms to collect qualitative data, and we outline their relative advantages over face-to-face FGD or IDI. We use four case studies to highlight the methodologies and findings and provide recommendations for researchers moving forward

Adapting digital health interventions for the evolving HIV landscape: examples to support prevention and treatment research

PURPOSE OF REVIEW: Although many HIV prevention and/or treatment digital health interventions (DHIs) have shown feasibility and acceptability, fewer have indicated efficacy, and only a subset have been adapted for new contexts. Adaptation is a key element of pragmatic implementation science research. Adaptation is cost effective and time efficient compared with new development. Leveraging adaptation can lead to accelerated scale-up and enhanced public health impact. Considering the value of adaptation, the purpose of this piece is to present examples of DHI to DHI adaptation sequences to inform future HIV prevention and/or treatment research. RECENT FINDINGS: From an examination of recent academic articles (01 November 2016 to 31 October 2021), we identified adaptation sequences that included an original DHI with at least two adaptations. Four models are presented herein; examples consist of adapted DHIs for new population, health outcome, geography, or a combination thereof. SUMMARY: Adaptation is a promising scientific approach to expeditiously respond to the evolving HIV landscape. We present examples of DHI adaptations alongside considerations for each type of adaptation; we also present adaptation challenges with responsive strategies. We suggest when conducted with attention to rigor (leveraging adaptation frameworks, community engagement, and tailoring content), adaptation is a powerful tool to pragmatically address the HIV epidemic

eHealth to Enhance Treatment Adherence Among Youth Living with HIV

Purpose of reviewMultiple reviews have examined eHealth/mHealth interventions to address treatment adherence, including those focusing on youth living with HIV (YLWH). This review synthesizes results of prior reviews and recent studies (last 5 years) to provide a path forward for future research, acknowledging both lessons learned and gaps to be addressed.Recent findingsRecent studies provide further evidence for the feasibility and acceptability of technology-based HIV interventions. Formative research of more comprehensive smartphone applications and pilot studies of computer-delivered interventions provide additional guidance on YLWH's preferences for intervention components and show promising preliminary efficacy for impacting treatment adherence.SummaryExpanding access to technology among YLWH, in the United States (US) and globally, supports the continued focus on eHealth/mHealth interventions as a means to reduce disparities in clinical outcomes. Future research should lend greater focus to implementation and scale-up of interventions through the use of adaptive treatment strategies that include costing analyses, measuring and maximizing engagement, fostering information sharing between researchers, and building upon sustainable platforms

Online sex partner seeking and HIV testing frequency among young black sexual minority men

Dating apps are a novel means of delivering HIV prevention messages. Young black sexual minority men (YBSMM) app users are at high risk for HIV and could benefit from frequent testing. Understanding testing behaviors among YBSMM is critical to inform tailored prevention interventions. We analyzed testing behaviors of 273 YBSMM, comparing typical testing frequency between app users and non-users using odds ratios. Overall, testing rates were high. App users were more likely than non-users to test at least every 12 months. App-using YBSMM exhibit high compliance with testing guidelines, which may indicate future successful uptake of biomedical preventions, such as Pre-Exposure Prophylaxis

Bijou: Engaging Young MSM in HIV Care Using a Mobile Health Strategy

Young men who have sex with men (YMSM) living with HIV experience challenges with retention in care, which negatively affects viral suppression. To address this, researchers piloted Bijou, a program designed to provide health education through electronically delivered behavior and risk reduction modules. Participants were 29 YMSM aged 19-24 living with HIV from the southeastern US. Participants completed pre, post, and 3-month follow-up (3MFU) surveys assessing knowledge, intervention acceptability, satisfaction, self-efficacy, ehealth literacy, and usability. Findings revealed significant improvement in knowledge and e-health literacy from pre-test to post-test but lost significance at 3MFU. Self-efficacy scores did not show significant differences from pre-test to post-test or 3MFU. Participants who completed all modules considered Bijou usable and acceptable; however, many did not complete the program. Findings suggest a need for adaptations to promote knowledge retention, e-health literacy, engagement over time, and research with a larger, more representative sample

Predictors of Condomless Anal Intercourse in Young HIV-Positive Men Who Have Sex With Men With Detectable Viral Loads

PURPOSE: A minority of young, gay, bisexual, and other men who have sex with men (YGBMSM) living with HIV in the U.S. achieve viral suppression, thus increasing the likelihood of viral transmission during condomless anal intercourse (CAI). The purpose of this study was to explore potential risk factors for CAI and serodiscordant CAI (SD-CAI) among YGBMSM with detectable viremia. METHODS: A total of 146 YGBMSM (aged 16-24 years) with a detectable viremia enrolled in a mobile health adherence intervention. Baseline characteristics, stratified by any CAI and any SD-CAI (past 3 months), were computed. Random Forests and regression methods were used to assess factors associated with each type of CAI. Adjusted prevalence rate ratios (aPRR) and 95% confidence intervals (CIs) were calculated. RESULTS: Half (51.9%) reported engaging in CAI; 57.1% of those reported SD-CAI. There was strong agreement between the Random Forests and regression methods. Significant risk factors of CAI included marijuana use (aPRR = 1.97, 95% CI: 1.21-3.21), problematic substance use (aPRR = 1.56, 95% CI: 1.11-2.20), and being in a committed relationship (aPRR = 1.66, 95% CI: 1.21-2.27). Only 47% believed they were less likely to transmit HIV through CAI when virally suppressed. CONCLUSION: High rates of CAI, including engagement in SD-CAI in a population of YGBMSM with detectable viral loads, pose significant concerns for onward transmission. Individual, dyadic, and structural predictors of CAI were associated with engagement in risk in this priority population. Addressing these factors in concert with ensuring viral suppression will be key to ending the epidemic among youth

The Development and Testing of a Relationship Skills Intervention to Improve HIV Prevention Uptake Among Young Gay, Bisexual, and Other Men Who Have Sex With Men and Their Primary Partners (We Prevent): Protocol for a Randomized Controlled Trial

BACKGROUND: Young gay, bisexual, and other men who have sex with men (YMSM) continue to be the group most heavily impacted by HIV in the United States. Substantial evidence indicates that up to two-thirds of new HIV infections occur in the context of a main partnership. Couples HIV testing and counseling (CHTC) has been shown to be a promising and effective strategy for increasing HIV prevention uptake among male couples; however, YMSM who are new to relationships may not have yet developed the efficacy, negotiation, and communication skills to navigate HIV testing in their relationship and communicate around developing a prevention plan. OBJECTIVE: This study aims to develop and test a relationship skills-focused HIV prevention intervention for YMSM and their partners. The intervention consists of two telehealth-delivered sessions: the first focuses on relationship skills and the second consists of CHTC and prevention planning. Both sessions are attended by both members of the dyad. METHODS: This protocol describes the development of the proposed intervention (We Prevent) and pilot test to examine its feasibility and preliminary efficacy. The intervention will include two motivational interviewing-based sessions: session one is a relationship skills-building session, focused on techniques to explore and build communication skills in a relationship, to help YMSM develop and enhance necessary skills for their current and future relationships; the second session is a CHTC session with YMSM and their partners, to help them develop an HIV prevention plan. Through qualitative data collection and a one-arm pilot with YMSM, we will develop and refine a developmentally appropriate relationship skills session as an addition to the current CHTC intervention. We will then conduct a pilot randomized controlled trial (RCT), comparing the acceptability, feasibility, and preliminary efficacy of the adapted two-session telehealth intervention for YMSM versus a control group receiving one session only-a CHTC session delivered via telehealth. RESULTS: The We Prevent intervention is designed to increase uptake of HIV prevention, shown through self-reported reductions in condomless sex and increases in knowledge and uptake of pre-exposure prophylaxis. In addition, the intervention is designed to increase HIV and sexually transmitted infection (STI) testing. STI incidence is examined as a secondary outcome. A cost-input analysis will examine the costs associated with intervention delivery to inform future scale-up of the intervention. CONCLUSIONS: Drawing on theory and existing CHTC protocols delivered with video-based counseling, this proposed intervention affords the opportunity to empower YMSM with the skills necessary to communicate with their partners and protect themselves from HIV in their current and future relationships