Telementoring to Strengthen Child and Youth Mental Health Care Capacity in Primary Care Providers: Session Duration and Learning Outcomes
Bibliographic record
Abstract
Primary care providers (PCPs) report insufficient capacity for child and youth mental health care (CYMH). The telementoring program Project ECHO (Extension for Community Healthcare Outcomes) can build capacity, but 75- to 120-minute sessions are a participation barrier. Using a Lean health care paradigm, we designed a 60-minute session, and compared self-reported CYMH capacity strengthening (10 constructs) and satisfaction between 60- and 90-minute sessions. Pre-post (n = 139) and post-cycle (n = 146) survey data were analyzed using generalized linear mixed-effects logistic regression. Capacity strengthening was demonstrated when analyzing both groups together (all Ps ≤ .002). Session duration did not affect capacity strengthening for 9/10 constructs (all Ps > .05), but medication management development was higher with 90-minute sessions ( P = .002). Satisfaction was high in both groups. The 60-minute ECHO CYMH sessions can be used without negative learning outcomes, but more mentoring may be needed to build capacity for psychopharmacologic treatment.
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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 | 0.007 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".