Virtual Reality–Based Psychological Intervention for Young Adults Living With HIV: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Young adults (15-24 years old) living with HIV may experience pressure both from HIV infection and social role change problems, resulting in a series of psychological problems such as depression and anxiety. Effective psychological intervention can improve their mental health and quality of life. OBJECTIVE: The study aims to explore the effectiveness of VR-based mental intervention on young adults living with HIV. The application and advantages of virtual reality (VR) in children's psychotherapy provide new ideas for psychological intervention for young adults living with HIV. METHODS: We use the qualitative interviews and questionnaire results as well as guided by classical psychotherapy to create a personalized psychological intervention system for young adults living with HIV through VR technology, which is based on the long-term AIDS treatment cohort and infectious diseases cohort of children. We use the mental scales and biochemical indexes as the outcomes, conducting a prospective randomized controlled trial to verify the feasibility and effectiveness of the VR psychological intervention system. RESULTS: The study began enrollment in September 2023. To date, 160 participants have finished the baseline questionnaires. CONCLUSIONS: The study results might provide a scientific basis for accurate psychological treatment among young adults living with HIV in the future. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55633.
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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 | 0.033 | 0.027 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.012 | 0.005 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.080 | 0.010 |
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".