Just-in-Time Adaptive Intervention to Improve HIV Prevention and Substance Use in Youth Experiencing Homelessness (MY-RIDE): Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Youth who are experiencing homelessness face a higher risk of HIV infection compared to their housed peers, and suicide and overdose remain the leading causes of death among homeless youth. Just-in-Time Adaptive Interventions (JITAIs) are gaining momentum for HIV prevention and substance use research. Yet, most interventions for homeless youth have not addressed modifiable real-time factors. OBJECTIVE: This paper describes the development and implementation of a randomized attention-controlled trial to assess the efficacy of motivating youth to reduce infections, disconnections, and emotional dysregulation (MY-RIDE), a JITAI to improve HIV prevention and substance use in homeless youth. METHODS: This study will enroll 320 homeless youth aged 18-25 years. The intervention was co-designed with homeless youth using the Information-Motivation-Behavioral Skills Model and consists of an individual nurse-led session about HIV prevention and 3 months of a JITAI with personalized messaging delivered by phone in real time in response to one's current level of risk. Participants also had access to an on-demand nurse helpline through the app. RESULTS: Institutional review board approval was obtained in the summer of 2024. Recruitment began in the fall of 2024 at shelters, drop-in centers, and other organizations that serve homeless youth. Participants complete a baseline survey and HIV/sexually transmitted infection (STI) testing and are provided with a smartphone with the intervention app. Follow-up surveys and HIV/STI testing are conducted at immediate, 3-, 6-, and 12-month time points post intervention to assess uptake of HIV prevention strategies and substance use reduction. A total of 192 are enrolled to date. CONCLUSIONS: The results of this study will determine whether MY-RIDE increases HIV prevention strategies and decreases substance use when compared to homeless youth in the attention control group. We will also evaluate if MY-RIDE impacts protective factors such as willingness to take pre-exposure prophylaxis medication and use of mental health and substance use services, and antecedents of risk such as stress, substance use urge, and substance use. TRIAL REGISTRATION: Clinicaltrials.gov NCT06074354; https://clinicaltrials.gov/study/NCT06074354. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/78006.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.032 | 0.029 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.014 | 0.006 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.098 | 0.015 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".