Infusing wellness opportunities into integrated youth services
Bibliographic record
Abstract
Abstract Background Appropriate health services and health promotion strategies for young people with mental health and substance use (MHSU) concerns are critical for recovery. Foundry, an integrated youth services (IYS) initiative for young people ages 12-24 in British Columbia (BC), Canada, has recently added leisure and recreational activities (referred to as the Wellness Program) into its services. The objectives of this study were to: (1) describe how the Wellness Program was implemented over a two-year period into IYS (2) provide an overview of what the Wellness Program is, who accessed the program since inception and initial evaluation results. Methods This study was part of the developmental evaluation of Foundry. A phased approach was used to implement the program at nine centres. Data was accessed from Foundry’s centralized platform ‘Toolbox’ and included activity type, number of unique youth and visits, additional services sought, information about how youth found out about the centre, and demographics. Qualitative data was also accessed from focus groups (n=2) conducted with young people (n=9). Results Over the two-year period, 355 unique youth accessed the Wellness Program, with 1319 unique visits. Almost half (40%) of youth identified the Wellness Program as the first point of access to Foundry. A total of 384 different programs were offered targeting five wellness domains (physical, mental/emotional, social, spiritual, and cognitive/intellectual). The majority of youth identified as young girls/women (58.2%), 22.6% as gender diverse, and 19.2% as young men/boys. The mean age was 19 years, and most participants were between the ages of 19-24 years (43.6%). From the thematic analysis of focus groups, we found young people enjoyed the social aspect of the program with peers and facilitators, and identified program improvements that are being considered as the program grows. Conclusions This study provides insight into the development and implementation of leisure-based activities (known as the Wellness Program) into IYS and can be used as a guide by international IYS initiatives. The initial reach of programs over two years is promising, and these programs are acting as a potential gateway for young people to access other health services.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".