Combined Digital Support Lifted PrEP Uptake in At-Risk Youth
Young people at risk for HIV acquisition often know which tools work. The harder problem is getting those tools into daily use and keeping them there. In a randomized, controlled factorial trial across Los Angeles and New Orleans, a combined package of automated text messaging, peer support, and strengths-based telehealth coaching increased PrEP uptake among adolescents and young adults, while leaving several other prevention outcomes unchanged.
The intervention blend mattered most when it joined reminders with human reinforcement. A text-based backbone alone did not move the full prevention picture, but adding private peer support and near-peer coaching produced a measurable increase in current PrEP use over 24 months. The signal was strongest in the arm receiving automated messaging, peer support, and coaching together, where the odds of PrEP use rose compared with the text-messaging control condition.
A High-Risk Cohort with Low Baseline PrEP Use
Investigators screened 2,314 adolescents and enrolled 1,037 participants between May 2017 and August 2019. The analytic cohort included 895 young people who had follow-up assessments, with 313 assigned to automated messaging and monitoring alone, 205 to messaging plus peer support, 196 to messaging plus coaching, and 181 to the combined peer support plus coaching arm. Follow-up ended in November 2021.
The cohort was diverse and clinically relevant. Participants were aged 16 to 24 years, and the sample included 362 Black or African American participants, 257 Latinx or Hispanic participants, 184 White participants, and 53 Asian or Pacific Islander participants. At baseline, 591 participants, or 66%, reported anal sex without a condom in the past 12 months. Only 101 participants, or 11%, were already using PrEP at baseline. That starting point reflects the central public health challenge: risk was common, but biomedical prevention was still reaching only a small fraction of those who might benefit.
Why Messaging, Peer Support, and Coaching Can Work Together
The intervention model was built around a plausible behavioral pathway. Automated texts can deliver reminders, normalize prevention, and keep HIV risk on a participant’s radar without requiring a clinic visit. Peer support adds social credibility and a sense that prevention is both acceptable and achievable. Strengths-based telehealth coaching, delivered by near-peer paraprofessionals, can then translate intention into action through goal setting, problem solving, and troubleshooting barriers such as appointment access, fear of stigma, or inconsistent routines.
In HIV prevention, those layers address different points of failure. A young person may understand PrEP but miss the prescription refill. Another may want condoms but not believe they can negotiate their use with partners. A third may need help navigating transportation, privacy, or the logistics of follow-up care. The design of this trial matched those real-world frictions with different forms of support rather than assuming a single digital prompt would be enough.
PrEP Uptake Rose, but Other Prevention Endpoints Did Not Shift
By 4 months, reported PrEP use increased from 11% at baseline to 15% overall. The more durable effect appeared in the arm that combined automated messaging, peer support, and coaching, which showed higher odds of PrEP use than the automated messaging control arm. The estimate was 2.31 with a 95% confidence interval of 1.28 to 4.14.
The rest of the prevention picture did not change in a meaningful way. There was no evidence of an intervention effect on consistent condom use, PEP prescription or adherence, PrEP adherence, or number of sexual partners. One sentence captures the central tension in the findings: the intervention helped more young people start or maintain PrEP use, but it did not reshape every HIV prevention behavior measured in the study.
That pattern is clinically familiar. Behavioral interventions often move the first step more readily than the later ones. Getting a prescription filled or re-engaging with prevention care is easier to influence than altering condom practices or sexual network patterns, which are shaped by partner dynamics, substance use, housing insecurity, and immediate social context. Biomedical uptake can rise even when the rest of the prevention ecology remains stubbornly fixed.
Safety Was Reassuring Across the 24-Month Follow-up
No unanticipated or study-related adverse events occurred. For a youth-focused, technology-enabled prevention strategy that reached adolescents and young adults across community organizations, adolescent medicine clinics, dating apps, peer referrals, and social venues, the absence of a safety signal is important. It supports the feasibility of scaling interventions that blend digital outreach with human support, including in populations that are unstably housed or have histories of incarceration.
The delivery model also matters operationally. Recruitment through 13 community-based organizations and clinical and social-service settings suggests the approach can reach young people outside traditional specialty HIV clinics. That broad access is relevant because prevention failure often begins long before a medication decision is made. Structural barriers, confidentiality concerns, and inconsistent contact with health systems all reduce the chance that a young person will ever encounter a prevention offer that fits their life.
What the Trial Means for HIV Prevention Delivery
The findings point to a pragmatic strategy rather than a single breakthrough tool. HIV prevention for youth did not improve because technology replaced people. It improved when technology carried reminders and monitoring, while peers and near-peer coaches supplied motivation, accountability, and problem-solving. The most effective arm combined those elements and produced a stronger PrEP signal than messaging alone.
The study also leaves a clear boundary around where current intervention packages fall short. Condom use, PEP use, adherence, and partner number did not change, so any implementation plan built from these results should avoid overpromising broad behavioral conversion. A prevention program can be useful even if it mainly shifts one high-value outcome, especially when that outcome is PrEP uptake among adolescents and young adults at substantial risk for HIV acquisition.
Scalability now depends on how these components are assembled in routine care. Automated messaging is comparatively easy to deploy, but the added effect came from human support layered on top. The practical question is not whether digital tools can reach youth. It is how health systems can combine text-based infrastructure with peer and coaching roles well enough to preserve the benefit seen here over longer periods and in settings with fewer trial resources.