Exposure to childhood interpersonal trauma and mental health service urgency
Bibliographic record
Abstract
BACKGROUND: Children and youth with a history of maltreatment experience different developmental, psychiatric and health problems. Ensuring there is streamlined access to services is imperative to recovery. Yet, few reports of standardized methods for directing and prioritizing risk for children seeking services exist. OBJECTIVE: The current study aims to address this gap and explore how mental health personnel triage highly vulnerable cases. Specifically, the goal of the current study is to examine whether experiencing childhood interpersonal trauma predicts service urgency. PARTICIPANTS AND SETTING: Participants were 19,645 children and youth, ages 4-18 years (M = 11.1 SD = 3.4) who completed the interRAI Child and Youth Mental Health Screener (ChYMH-S) at various community-based and residential children's mental health facilities across Ontario. METHODS: Retrospective data collected from the ChYMH-S was used to explore differences in maltreatment history, gender, and legal guardianship and their impact on service prioritization. RESULTS: Children and youth who were exposed to some form of interpersonal trauma were more likely to have mental health issues requiring urgent follow-up service compared to those who were not exposed. Findings also suggested that gender and legal guardianship impact service urgency. CONCLUSIONS: Children and youth who have experienced maltreatment are significantly more likely to score high on mental health service urgency than those who did not. This provides valuable insight that can support the development of appropriate system-level changes to policy and practice when servicing children and youth with mental health needs in Canada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".