OP46 Redefining Mental Health Services For Youth: Evidence To Action
Bibliographic record
Abstract
Introduction: Current organization of mental health services in Canada imposes a rupture during youth transition to adulthood, when severe mental health disorders start appearing. This can have a major impact on youth recovery and social integration. A health technology assessment (HTA) was initiated to evaluate the efficacy of programs that simultaneously target adolescents and young adults to support decision making. Methods: A systematic review of systematic reviews was conducted. Four databases were searched (MEDLINE, Embase, Applied Social Sciences Index and Abstracts, and CINAHL) for articles published between 2000 and 2017. Article selection and quality assessment (ROBIS tool) were performed and inter-rater agreement was measured. To be included, the systematic review had to study specialized models or programs serving both adolescents and young adults. An analytical framework was constructed based on the categorization of performance measures for early intervention and the five dimensions of recovery. Group and individual interviews were conducted to collect contextual and experiential data. Results: A total of 1,054 references were identified. After applying the selection criteria, five systematic reviews were selected. The majority of programs identified were developed for early psychosis. This HTA did not identify specialized programs for other types of mental illness or at-risk youth. Evidence on early interventions for psychosis is emerging in regards to their efficacy in improving functional and clinical recovery. However, evidence has yet to be established for their impact on access. Contextual and experiential data from our organization validated and completed the scientific findings. Facilitating and constraining factors in the implementation of a person-centered care model and inter-agency collaboration were identified. Conclusions: Services targeting at-risk youth should be developed as part of a continuum of care that is adapted to clinical stages so that all youths living with psychological distress can be treated, regardless of diagnosis or age. These services may draw inspiration from models of early intervention for psychosis. Recommendations from this HTA are currently being put into action in the West Island of Montreal.
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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 | 0.050 | 0.096 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.008 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".