Child and youth mental health referrals and care planning needs during the pandemic waves
Bibliographic record
Abstract
The global coronavirus pandemic led to significant changes in the daily lives of children and youth, including increased exposure to family hardships, school closures, and virtual delivery of mental health and educational services. In this study, routine care data from 28 mental health agencies in Ontario, Canada, obtained using the interRAI Child and Youth Mental Health (ChYMH) instrument, were utilized to compare children's mental health assessment volumes and care planning needs between prepandemic (n = 5636) and postpandemic waves (n = 5743). Findings from a period of five pandemic waves highlighted a sudden drop in assessments at the start of the pandemic, with gradual recovery. Care planning needs to address weight management and suicide risk increased during the pandemic, whereas criminality involvement, educational needs, and interpersonal conflict declined. Service system access was not differentially influenced by age, but was by gender, in-patient status, and some indicators of marginalization. Limitations and clinical implications are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".