The Child and Youth Mental Health Assessment (ChYMH): An examination of the psychometric properties of an integrated assessment developed for clinically referred children and youth
Bibliographic record
Abstract
BACKGROUND: The Child and Youth Mental Health (ChYMH) assessment system was developed by interRAI (i.e., an international collective of researchers and clinicians from over thirty countries) in response to the unprecedented need for a coordinated approach to delivery of children's mental health care. Many interRAI instruments are used across Canada and internationally, but the ChYMH represents the first assessment specifically for children and youth. In the present paper, a short overview of the development process of the ChYMH is provided, and then the psychometric properties of several embedded scales on the ChYMH are examined. METHODS: Participants included 1297 children and youth and their families who completed the ChYMH after being referred to mental health agencies within Ontario, Canada. In addition, smaller subsets of participants (N = 48-53) completed additional criterion measures, including the Social Skills Improvement System (SSIS), the Child and Adolescent Functional Assessment Scale (CAFAS), the Child Behavior Checklist (CBCL), and the Brief Child and Family Phone Interview (BCFPI). RESULTS: Results demonstrated that the ChYMH subscales had strong internal-consistency (Cronbach's higher than .70), and correlated well with the criterion measures. CONCLUSIONS: Findings support the clinical utility of the ChYMH for use among clinically referred children and youth. Implications for children's mental health assessment and practice 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 | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".