Strengthening Mental Health and Resilience Through Schools: Protocol for a Participatory Design Project
Bibliographic record
Abstract
BACKGROUND: Mental health problems are a main contributor to the global burden of disease in children and young people within urban environments. In response, the potential of both school- and sport-based mental health promotion interventions has been advocated. However, there exists limited insights into how sport-based interventions can be integrated within school environment. Moreover, there is a need to consider children and young people's specific needs, challenges, and motivations when designing novel mental health promotion interventions. OBJECTIVE: The Strengthening Mental Health and Resilience Through Schools (SMARTS) project aims to co-design an evidence-informed school-sport-based mental health promotion program. Specific objectives include (1) co-designing a multicomponent program, integrating sport sessions with class-based sessions, and complementing with educational modules for teachers and parents; (2) exploring how the mental health program can be implemented most effectively within the Brussels school system; and (3) conducting preliminary process and outcome testing of the program. METHODS: A participatory design framework will be adopted to develop the program. This framework involves end users throughout the entire study process, from problem identification to intervention delivery and evaluation, while at the same time ensuring program development remains directly informed by the available scientific evidence. RESULTS: Participant recruitment will commence in September 2023. The full project will be completed by March 2027. CONCLUSIONS: With this intervention, we aim to provide a direct contribution to the promotion of children and young people's mental health within the Brussels school context. At a broader level, conducting and documenting this large participatory design project can, hopefully, inspire other researchers to tailor their mental health programs to specific populations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/49670.
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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 | 0.097 | 0.072 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.084 | 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".