Psychosis 101: evaluating a training programme for northern and remote youth mental health service providers
Bibliographic record
Abstract
BACKGROUND: Most of the early psychosis intervention (EPI) training has focused on family physicians participants. In Northern Ontario, there is a shortage of primary care. This paper will present evaluation results of a pilot training programme for rural and remote youth mental health service providers. METHOD: A mixed methods approach was used. We evaluated a 2-day workshop about EPI for non-medical mental health workers delivered onsite and simultaneously by videoconferencing. There were 19 participants across four agencies. Seven were onsite and 12 were offsite. Participants' knowledge was measured using a validated questionnaire at pre-intervention and at 3-, 6- and 9-month follow up. A repeated measures ANOVA was used to evaluate knowledge acquisition between the two modes of training. At 6 months, focus group interviews were conducted to explore their experiences of the mode of intervention delivery and evaluation. Emerging themes were iteratively derived through a series of discussions involving independent coders. RESULTS: Only 15 complete datasets were available of the 19 original participants. Differences in knowledge acquisition between the two groups did not reach statistical difference. Six-month focus group data indicated that participants improved their relationship with EPI services and they were part of a strengthened network with other providers in the region. Post-intervention, the accuracy of referrals from participating agencies increased dramatically, with an increase in proportion of referrals who were eligible for EPI services. The follow-up process engaged participants in learning and re-engaged them with the material taught during the training session. CONCLUSIONS: The results about developing service partnerships and relationship with specialist services are encouraging for policy and service decision-makers to address mental health service needs in northern and remote areas.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".