An Iteratively Adapted Transdiagnostic Prevention Program for Diverse High School Settings (U-PEACE): Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Despite many adolescents experiencing mental health concerns, a substantial portion lack access to evidence-based treatments (EBTs) for psychopathology; this issue is magnified for adolescents belonging to communities considered marginalized. One way to ameliorate this is by adapting existent EBTs-typically delivered in research settings-so that they are feasible and scalable in adolescent settings, such as high schools. The Unified Protocol for Transdiagnostic Treatment of Emotional Disorders in Adolescents may be particularly suited for this purpose due to its transdiagnostic, modular approach and its focus on adolescent clients. OBJECTIVE: This study aimed to iteratively adapt and implement the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders in Adolescents in 3 Title 1 high schools, with a focus on feasibility and scalability of the intervention in diverse high school settings. METHODS: For initial adaptation, members of participating high school communities will be presented with original, unadapted intervention materials and asked to provide qualitative feedback on how to make the program more appropriate and feasible for their schools (aim 1). After initial adaptations are implemented, an open-trial pilot case series will assess the appropriateness and feasibility of the resulting program: the Unified Protocol for Emotional and Academic Challenges in Education (aim 2). Initial outcome data and qualitative feedback from pilot case series participants will then inform final adaptations for the randomized controlled trial-in which the adapted program will be compared to high schools' mental health services as usual (aim 3). The adapted program's effectiveness will be evaluated by using a mixed methods approach, and feasibility will be preliminarily assessed through cost-effectiveness analyses (aim 4). RESULTS: Data collection for the study was concluded in May 2025, with primary outcome analyses anticipated to be completed by August 2025. CONCLUSIONS: This protocol may serve as a promising guide for adapting youth EBTs in more accessible, diverse settings, as well as result in a useful prevention program for youth with emotional concerns. TRIAL REGISTRATION: ClinicalTrials.gov NCT06056674; https://clinicaltrials.gov/study/NCT06056674. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/74080.
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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 | 0.072 | 0.071 |
| Meta-epidemiology (narrow) | 0.008 | 0.005 |
| Meta-epidemiology (broad) | 0.015 | 0.007 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.094 | 0.016 |
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".