Program evaluation of a child and youth mental health training program for family physicians in british columbia.
Bibliographic record
Abstract
INTRODUCTION: This brief report presents findings from the program evaluation of a portion of an educational program developed to support family physicians in improving their mental health care competencies in children and youth in British Columbia. METHOD: The Child and Youth Mental Health (CYMH) learning module is part of a broader initiative from the Practice Support Program (PSP) of the British Columbia Medical Association and was created specifically to assist family physicians in improving their competencies in the identification, diagnosis and delivery of best evidence-based treatments for children and youth exhibiting the most common mental disorders that can be effectively treated in most primary care practices. RESULTS: The initial results from the program evaluation demonstrate a substantial improvement in family physicians' knowledge of child and youth mental disorders and their self-rated clinical confidence in identifying and treating (both pharmacologically and psychotherapeutically) the most common child and youth mental disorders. Furthermore, because the training protocol involves a team-based approach which includes specialist physicians as well as school counsellors and human services providers, collaboration between primary practice and other providers is enhanced. CONCLUSION: The initial results encourage broader roll-out and further evaluation of this program on a wider scale.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".