Adolescent Inpatient Mental Health Admissions: An Exploration of Interpersonal Polyvictimization, Family Dysfunction, Self-Harm and Suicidal Behaviours
Bibliographic record
Abstract
Abstract The mental health system is impacted by extreme delays in the provision of care, even in the face of suicidal behaviour. The failure to address mental health issues in a timely fashion result in a dependence on acute mental health services. Improvement to the mental health care system is impacted by the paucity of information surrounding client profiles admitted to inpatient settings. Using archival data from 10,865 adolescents 12–18 years of age (Mage = 14.87, SDage = 1.77), this study aimed to examine the characteristics of adolescents admitted to psychiatric inpatient services in Ontario, Canada. Multivariate binary logistic regression revealed that adolescents reporting interpersonal polyvictimization, greater family dysfunction and higher risk of suicide and self-harm had a greater likelihood of an inpatient mental health admission. The interRAI Child and Youth Mental Health assessment can be used for care planning and early intervention to support adolescents and their families before suicide risk is imminent.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.001 | 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".