Randomized controlled trial of online interventions for co-occurring depression and hazardous alcohol consumption: Primary outcome results
Bibliographic record
Abstract
BACKGROUND AND AIMS: The current trial tested the benefits of offering a brief online intervention for hazardous alcohol consumption along with one for depression among people experiencing both conditions. METHODS: Online advertisements were used to recruit people with persistent low mood. Those who also had current hazardous alcohol consumption were identified and invited to take part in the trial (those not eligible were offered access to the online depression intervention). Participants were randomized to an established intervention for depression (MoodGYM; M-only) or to receive MoodGYM plus a brief personalized feedback intervention for hazardous drinking (Check Your Drinking; M + CYD). Participants were followed-up at three and six months. RESULTS: > .05) in the number of MoodGYM modules completed between the two groups. DISCUSSION AND CONCLUSION: The current trial found no benefit to providing a brief online intervention for hazardous alcohol consumption alongside one for depression among people experiencing these co-occurring disorders. Further, the finding that adding an online intervention for drinking to one for depression led to a small reduction in the number of times the interventions were accessed implies the need for caution when deciding how best to provide online help to those with co-occurring depression and hazardous alcohol consumption.Trial Registration: ClinicalTrials.govNCT03421080.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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".