Systematic review of Indigenous involvement and content in mental health interventions and their effectiveness for Indigenous populations
Bibliographic record
Abstract
OBJECTIVE: To assess the effects of psychological, psychosocial, educational and alternative interventions on mental health outcomes of Indigenous adult populations in Australia, Canada, New Zealand and the United States and the Indigenous involvement and content in each study. METHODS: We systematically searched databases, key journals and gray literature, for records until June 2020. Eligible studies were in English or French and examined the impact of interventions on mental health outcomes including anxiety disorders, posttraumatic stress disorder, depression, psychological distress or stress for Indigenous adults (⩾16 years). Data were extracted using a modified Cochrane Data Extraction Form and the Template for Intervention Description and Replication. Quality was evaluated using the Effective Public Health Practice Project quality assessment form. RESULTS: In total, 21 studies were eligible, comprising 8 randomized controlled trials, 10 single-group pre-post studies and 3 pre-post studies with comparison groups. Twenty studies had Indigenous individuals or organizations involved in some decision-making capacity, though extent of involvement varied widely. In total, 9 studies were rated moderate and 12 weak in the Effective Public Health Practice Project quality assessment. Eight studies measuring depression, three measuring posttraumatic stress disorder, three measuring psychological distress and two measuring stress showed statistically significant improvements following the intervention. CONCLUSION: A wide range of interventions demonstrated mental health improvements. However, it is difficult to draw generalizable conclusions on intervention effectiveness, given heterogeneity among studies. Studies should employ a thorough assessment of the Indigenous involvement and content of their interventions for reporting and for critical consideration of the implications of their research and whether they address Indigenous determinants of mental health.
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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 | 0.025 | 0.094 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.009 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".