Brief Emergency Department Interventions for Youth Who Use Alcohol and Other Drugs
Bibliographic record
Abstract
OBJECTIVE: Brief intervention (BI) is recommended for use with youth who use alcohol and other drugs. Emergency departments (EDs) can provide BIs at a time directly linked to harmful and hazardous use. The objective of this systematic review was to determine the effectiveness of ED-based BIs. METHODS: We searched 14 electronic databases, a clinical trial registry, conference proceedings, and study references. We included randomized controlled trials with youth 21 years or younger. Two reviewers independently selected studies and assessed methodological quality. One reviewer extracted and a second verified data. We summarized findings qualitatively. RESULTS: Two trials with low risk of bias, 2 trials with unclear risk of bias, and 5 trials with high risk of bias were included. Trials evaluated targeted BIs for alcohol-positive (n = 3) and alcohol/other drug-positive youth (n = 1) and universal BIs for youth reporting recent alcohol (n = 4) or cannabis use (n = 1). Few differences were found in favor of ED-based BIs, and variation in outcome measurement and poor study quality precluded firm conclusions for many comparisons. Universal and targeted BIs did not significantly reduce alcohol use more than other care. In one targeted BI trial with high risk of bias, motivational interviewing (MI) that involved parents reduced drinking quantity per occasion and high-volume alcohol use compared with MI that was delivered to youth only. Another trial with high risk of bias reported an increase in abstinence and reduction in physical altercations when youth received peer-delivered universal MI for cannabis use. In 2 trials with unclear risk of bias, MI reduced drinking and driving and alcohol-related injuries after the ED visit. Computer-based MI delivered universally in 1 trial with low risk of bias reduced alcohol-related consequences 6 months after the ED visit. CONCLUSIONS: Clear benefits of using ED-based BI to reduce alcohol and other drug use and associated injuries or high-risk behaviours remain inconclusive because of variation in assessing outcomes and poor study quality.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".