Youth Wellness Hubs Ontario: Development and initial implementation of integrated youth services in Ontario, Canada
Bibliographic record
Abstract
AIM: The need for youth-friendly early intervention services to meet the mental health, substance use, primary care, and other social needs of adolescents and young adults is well-documented. This article describes Youth Wellness Hubs Ontario, a province-wide initiative in Ontario, Canada to build and implement a one-stop-shop model of integrated youth services. METHODS: We describe the development of Youth Wellness Hubs Ontario, in the context of global youth mental health system transformation, as well as pan-Canadian youth mental health system change. We also describe Youth Wellness Hubs Ontario's values and services. RESULTS: The demonstration phase of Youth Wellness Hubs Ontario was initiated in 2017-2018. Youth Wellness Hubs Ontario is co-created with youth for youth aged 12-25 years old across diverse community contexts. Youth Wellness Hubs Ontario centres engagement and equity, and offers developmentally-appropriate services in an integrated, community-based walk-in format. As an initiative committed to continuous learning and quality improvement, Youth Wellness Hubs Ontario offers evidence-based and evidence-generating services, and measurement-based care. Youth Wellness Hubs Ontario is supported by backbone resources with expertise in implementation science, health equity, Indigenous practices, youth and family engagement, evaluation, and knowledge translation. In 2020 Youth Wellness Hubs Ontario secured sustainable funding for the first 10 locations and scale-up began in 2021, with 10 additional locations in development. CONCLUSIONS: Youth Wellness Hubs Ontario demonstrates the feasibility of integrated mental health and substance use early intervention services, offered in the context of a broad range of health and social services.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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 teacher head, 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".