Substance Use Prevention Programs for Indigenous Adolescents in the United States of America, Canada, Australia and New Zealand: Protocol for a Systematic Review (Preprint)
Bibliographic record
Abstract
BACKGROUND Indigenous adolescents are at a higher risk of experiencing harms related to substance use compared with their non-Indigenous counterparts as a consequence of earlier onset and higher rates of substance use. Early onset of substance use has been identified as a risk factor for future substance use problems and other health, social, and family outcomes. Therefore, prevention of substance use among adolescents has been identified as a key area to improve health of Indigenous Peoples. Evidence exists for the effectiveness of prevention approaches for adolescents in mainstream populations and, most recently, for the use of computer- and Internet-delivered interventions to overcome barriers to implementation. However, there is currently no conclusive evidence about the effectiveness of these approaches for Indigenous adolescents. OBJECTIVE The purpose of this review is to synthesize the international evidence regarding the effectiveness of substance use prevention programs for Indigenous adolescents in the United States, Canada, Australia, and New Zealand. METHODS A total of 8 peer-reviewed databases and 20 gray literature databases will be searched, using search terms in line with the aims of this review and based on previous relevant reviews of substance use prevention. Studies will be included if they evaluate a substance use prevention program with Indigenous adolescents (aged 10 to 19 years) as the primary participant group and are published between January 1, 1990 and August 31, 2017. RESULTS A narrative synthesis will be provided about the effectiveness of the programs, the type of program (whether culture-based, adapted, or unadapted), delivery of the program (computer- and Internet-delivered or traditional), and the setting in which the programs are delivered (community, school, family, clinical, or a combination). CONCLUSIONS The study will identify core elements of effective substance use prevention programs among Indigenous adolescents and appraise the methodological quality of the studies. This review will provide researchers, policy makers, and program developers with evidence about the potential use of prevention approaches for Indigenous adolescents.
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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 | 0.061 | 0.065 |
| Meta-epidemiology (narrow) | 0.005 | 0.006 |
| Meta-epidemiology (broad) | 0.020 | 0.017 |
| Bibliometrics | 0.018 | 0.018 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.064 | 0.007 |
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".