Alcohol Use and Injury Severity Among Emergency Department Patients in Six Countries
Bibliographic record
Abstract
This study examines the individual and sociocultural factors related to severity of injury among emergency department (ED) patients across six countries (United States, Canada, Mexico, Australia, Spain, and Italy). Secondary analysis of existing data using probability samples of injured patients from 15 studies (N = 9,599) were analyzed for severity of injury as measured by arrival by ambulance and admission to the hospital, using logistic regression models and multilevel hierarchical linear models. Patients drinking greater quantities of alcohol before the injury were more likely to have arrived to the ED by ambulance or admitted to the hospital after the injury event. Country-level detrimental drinking pattern explained some of the study variation for patients arriving by ambulance but not for patients admitted to the ED. Findings support a relationship between acute alcohol consumption to injury severity; however, further examination of the clinical implications related to triage, patient evaluation, and intervention for alcohol-related problems is merited.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".