A cross-sectional study of emergency department visits by people who inject drugs
Bibliographic record
Abstract
BACKGROUND: People who inject drugs (PWID) have worse health than non-injectors and are at heightened risk of incidents that necessitate hospital emergency department (ED) visits. STUDY OBJECTIVES: To describe ED visits by PWIDs in Melbourne, Australia, and compare reasons with those given in Vancouver, Canada. METHODS: In 2008-2010, 688 Melbourne PWIDs were interviewed about their ED visits; these data were contrasted with published data about ED visits by PWIDs in Vancouver. RESULTS: Participants reported 132 ED visits in the month preceding interview--27.3% drug-related, 20.5% trauma-related (principally physical assault), 13.6% for psychiatric problems. Melbourne PWIDs are less likely to attend ED for soft-tissue injuries, and more likely to attend after physical assault than PWIDs in Vancouver. CONCLUSION: PWID in Melbourne and Vancouver attend EDs for different reasons; information about PWID visits can help EDs cater for them and provide insights for prevention.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".