Mental health literacy in primary care: Canadian Research and Education for the Advancement of Child Health (CanREACH)
Bibliographic record
Abstract
The effectiveness of a continuing education programme in paediatric psychopharmacology designed for primary healthcare providers was objectively measured based on the assumption that training would lead to measurable changes in referral patterns and established clinical measures of referred patients. Using established, valid and reliable measures of clinical urgency embedded in to a regional healthcare system since 2002, the referrals to child and adolescent psychiatric services of physicians who participated in the training (n=99) were compared pretraining and post-training, and to non-participating/untrained referring physicians (n=7753) making referrals over the same time period. Referrals were analysed for evidence of change based on frequencies and measures of clinical urgency. Participants of the training programme also completed standardised baseline and outcome self-evaluations. Congruent with participants self-reported evaluative reports of improved knowledge and practice, analysis of referral frequency and the clinical urgency of referrals to paediatric psychiatric services over the study period indicated that trained physicians made more appropriate referrals (clinically more severe) and reduced referrals to emergency services. Quantitative clinical differences as completed by intake clinicians blind to referrals from the study group designations were observed within the trained physician group pretraining and post-training, and between the trained physician group and the unexposed physician group. The results illustrate a novel model for objectively measuring change among physicians based on training in paediatric mental health management.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.011 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".