Predictors of Emergency Department Use for Suicidal Behaviors among Patients with Substance-Related Disorders
Bibliographic record
Abstract
OBJECTIVE: This study aimed to identify predictors of emergency department (ED) use for suicide ideation or suicide attempt compared with other reasons among 14,158 patients with substance-related disorders (SRD) in Quebec (Canada). METHODS: Longitudinal data on clinical, sociodemographic, and service use variables for patients who used addiction treatment centers in 2012-13 were extracted from Quebec administrative databases. A multinomial logistic regression was produced, comparing predictors of suicide ideation or attempts to other reasons for ED use in 2015-16. RESULTS: Patients using ED for both suicide ideation and attempt were more likely to have bipolar or personality disorders, problems related to the social environment, 4+ previous yearly outpatient consultations with their usual psychiatrist, high prior ED use, and dropout from SRD programs in addiction treatment centers in the previous 7 years, compared with those using ED for other reasons. Patients with alcohol- or drug-related disorders other than cannabis and living in the least materially deprived areas, urban territories, and university healthcare regions made more suicide attempts than those using ED for other reasons. Patients with common mental disorders, 1-3 previous yearly outpatient consultations with their usual psychiatrist, one previous treatment episode in addiction treatment centers, and those using at least one SRD program experienced more suicide ideation than patients using ED for other reasons. CONCLUSION: Clinical variables most strongly predicted suicidal behaviors, whereas completion of SRD programs may help to reduce them. SRD services and outreach strategies should be reinforced, particularly for patients with complex issues living in more advantaged urban areas. HIGHLIGHTSOver 10% of ED visits were for suicidal behaviors among patients with SRD.ED use for suicidal behaviors was mainly associated with clinical variables.Addiction treatment centers may help reduce ED use for suicidal behaviors.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".