A Description of Emergency Care Received by Children and Youth with Mental Health Presentations for Alcohol and Other Drug use in two Alberta Emergency Departments.
Bibliographic record
Abstract
OBJECTIVE: This paper describes patient and treatment characteristics of pediatric mental health Emergency Department (ED) visits associated with alcohol and other drug (AOD) use. METHOD: A medical record and administrative database review was conducted. Proportional allocation random stratified sampling identified a representative sample of pediatric (≤18 years) mental health presentations to two tertiary care EDs between April 2004 and March 2006. Descriptive statistics were used to summarize data from 161 patients with associated AOD use. RESULTS: More females (56.5%) and youth aged 15 to 18 years (70.8%) attended the ED for mental health complaints associated with AOD use. Alcohol (48.4%) and over-the-counter or prescription medications (25.5%) were the most commonly used substances. Twenty-four percent of patients had a documented psychiatric history. The most common psychiatric assessments provided were for suicidality (31.1%) and mood (18.0%). Brief counselling was provided in 31.7% of visits. Consultation with psychiatry occurred less than 20% of the time. Most patients were discharged from the ED (65.2%). Sixty-eight percent of patient records did not have documented discharge planning. CONCLUSIONS: When youth present to the ED for mental health concerns related to AOD use, mental health assessments and follow-up care are not occurring in all cases and reasons for this oversight need to be explored.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".