Emergency Department Presentations and Youth Suicide: A Case-Control Study
Bibliographic record
Abstract
OBJECTIVE: We estimate associations between emergency department (ED) diagnoses and suicide among youth to guide ED care. METHOD: This ED-based case-control study used data from the Office of the Chief Coroner and all EDs in Ontario, Canada. Cases ( n = 697 males and n = 327 females) were aged 10 to 25 years who died by suicide in Ontario between April 2003 and March 2014, with an ED contact in the year before their death. Same-aged ED-based controls were selected during this time frame. Crude and adjusted odds ratios (aORs) and 95% confidence intervals were calculated. RESULTS: Among youth diagnosed with a mental health problem at their most recent ED contact (41.9% cases, 5% controls), suicide was elevated among nonfatal self-inflicted: 'other' injuries, including hanging, strangulation, and suffocation in both sexes (aORs > 14); cut/pierce injuries in males (aOR > 5); poisonings in both sexes (aORs > 2.2); and mood and psychotic disorders in males (aORs > 1.7). Among those remaining, 'undetermined' injuries and poisonings in both sexes (aORs > 5), 'unintentional' poisonings in males (aOR = 2.1), and assault in both sexes (aORs > 1.8) were significant. At least half of cases had ED contact within 106 days. CONCLUSIONS: The results highlight the need for timely identification and treatment of mental health problems. Among those with an identified mental health problem, important targets for suicide prevention efforts are youth with self-harm and males with mood and psychotic disorders. Among others, youth with unintentional poisonings, undetermined events, and assaults should raise concern.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".