A Web-Based Alcohol and Other Drug Prevention Program (Strong & Deadly Futures) for Aboriginal and Torres Strait Islander School Students: Protocol for a Cluster Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: There are no available school-based alcohol and drug prevention programs with evidence of effectiveness among Aboriginal and Torres Strait Islander youth. To address this, we codeveloped the Strong & Deadly Futures well-being and alcohol and drug prevention program in partnership with an Indigenous creative design agency and 4 Australian schools. OBJECTIVE: This paper presents the protocol to evaluate the effectiveness of Strong & Deadly Futures in reducing alcohol and other drug use and improving well-being among Aboriginal and Torres Strait Islander youth. METHODS: The target sample will be 960 year 7 and 8 students from 24 secondary schools in Australia, of which approximately 40% (384/960) will identify as Aboriginal or Torres Strait Islander. The study design is a 2-group, parallel cluster randomized controlled trial with allocation concealment. Recruited schools will be block randomized (ratio 1:1), stratified by geographical remoteness, by an independent statistician. Schools will be randomized to receive Strong & Deadly Futures, a web-based alcohol and drug prevention and social and emotional well-being program that delivers curriculum-aligned content over 6 lessons via an illustrated story, or health education as usual (control). Control schools will be supported to implement Strong & Deadly Futures following trial completion. Surveys will be administered at baseline, 6 weeks, 12 months, and 24 months (primary end point) post baseline. Primary outcomes are alcohol use (adapted from the National Drug Strategy Household Survey), tobacco use (Standard High School Youth Risk Behavior Survey), and psychological distress (Kessler-5 Psychological Distress Scale). Secondary outcomes are alcohol and drug knowledge and intentions, alcohol-related harms, binge drinking, cannabis use, well-being, empowerment, appreciation of cultural diversity, and truancy. RESULTS: The trial was funded by the National Health and Medical Research Council in January 2019, approved by the Human Research Ethics Committee of the University of Sydney (2020/039, April 2020), the Aboriginal Health and Medical Research Council of New South Wales (1620/19, February 2020), the Western Australian Aboriginal Health Ethics Committee (998, October 2021), and the ethics committees of each participating school, including the New South Wales Department of Education (2020170, June 2020), Catholic Education Western Australia (RP2020/39, November 2020), and the Queensland Department of Education (550/27/2390, August 2021). Projected dates of data collection are 2022-2024, and we expect to publish the results in 2025. A total of 24 schools have been recruited as of submission of the manuscript. CONCLUSIONS: This will be the first cluster randomized controlled trial of a culturally inclusive, school-based alcohol and drug prevention program for Aboriginal and Torres Strait Islander youth; therefore, it has significant potential to address alcohol and other drug harms among Aboriginal and Torres Strait Islander youth. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12620001038987; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380038&isReview=true. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/34530.
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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 | 0.042 | 0.036 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.012 | 0.005 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.099 | 0.014 |
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".