YESS: A feasibility study of a supported employment program for youths with mental health disorders
Bibliographic record
Abstract
Objective: In Canada, employment/education support is rarely embedded as a component of mental health service delivery. This study describes a supported education/employment program (SEP) that integrates both clinical and community mental health services. The main objectives were to estimate the feasibility of a 5-week SEP among youths aged 17-24 with mental illness and to estimate the extent to which participation in this program improved employment and mental health outcomes. Methods: This was a single cohort study. Feasibility outcomes assessed were demand, acceptability, practicality, integration, adaptation, and effectiveness. These were assessed through recruitment and retention rates, recording patterns of missing data, and examining differences between completers and non-completers. Appropriateness of the outcome measures was assessed through the strength of the association between the outcome measures at baseline. Effectiveness of the program was assessed through employment and as measured using MyLifetracker (MLT), Satisfaction with Life Scale (SWLS), and the Canadian Personal Recovery Outcome Measure (CPROM). Results: A total of 110 youths with a mean age of 20.6 (SD: 2.2) were recruited. At 5 weeks, 82 (74.5%) of participants remained in the program. Of the people who completed the program, 56.1% were women, 76.6% were in stable housing and 64.1% had depression. Approximately 60% of non-completers used two or more services and were in at-risk housing. More than 25% of participants improved on the patient-reported outcomes. Scores on these measures were moderately to highly correlated with each other. Employment rates varied and corresponded to the waves of the COVID-19 pandemic in Canada. Conclusion: Results showed that this program was feasible and there was high demand for SEP during the COVID-19 pandemic but gaining employment remained difficult. Educational or employment outcomes, measured over a short period, may not be adequate. Instead, individualized and patient-reported outcome measures may be more appropriate for SEP programs.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".