Empirical findings from psychotherapy research with indigenous populations: A systematic review.
Bibliographic record
Abstract
OBJECTIVE: Although the dire mental health needs of Indigenous communities are well established in the literature, the empirical evidence for psychotherapeutic treatment for these populations is perceived to be scant. This review is intended to determine gaps in the literature for this population by asking how much empirical work has been published, what types of research are being conducted, which topics are most prevalent among the existing literature, and what can be concluded about psychotherapy with Indigenous populations based on this literature. METHOD: A systematic review of empirical psychotherapy research on Indigenous clients of Australia, Canada, New Zealand, and the United States was conducted across 10 databases. RESULTS: A total of 44 studies were found, with just 2 examples of controlled outcome trials. The most common research topic was treatment evaluation, but only 4 treatment evaluation studies examined individual psychotherapy with adults. Looking across all topics, treatment for substance use disorders comprised the majority of studies on specific mental health problems. CONCLUSIONS: Moving forward, it will be important for researchers to examine individual psychotherapy for Indigenous clients and to consider treatment for disorders unrelated to substance use. A preference for the inclusion of cultural practices and education in psychotherapy was clear across the literature, but the limited inferences that can be drawn from the existing research make it impossible to come to any conclusions about the specific roles or effects of cultural practices. Overall, empirical research is badly needed for psychotherapy with Indigenous populations at this time. (PsycINFO Database Record
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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 | 0.019 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".