Identifying priorities, directions and a vision for Indigenous mental health using a collaborative and consensus-based facilitation approach
Bibliographic record
Abstract
BACKGROUND: Mental health disparities between Indigenous and non-Indigenous people in Canada are related to underlying economic, social, and political inequities that are legacies of colonization and the oppression of Indigenous cultures. It also widely acknowledged that mental health services currently available may not be culturally appropriate in supporting the health needs of Indigenous Canadians. A two-day Indigenous mental health forum examined mental health needs and gaps among Indigenous communities across the Regional Municipality of Wood Buffalo (RMWB) on Treaty 8 territory, in northern Alberta, Canada. This paper outlines the insights generated by stakeholder engagement at the forum to identify and prioritize directions for Indigenous mental health and build a vision and strategy for improving mental health services and programs for the region's diverse Indigenous population. METHODS: We applied a modified nominal group technique (NGT) consensus method embedded within Indigenous knowledge to determine key priorities and directions for Indigenous-focused mental health and synthesize information from discussions that occurred at the forum. Following the NGT, a participatory community visioning exercise was conducted with participants to develop a vision, guiding principles, and components of an action plan for an Indigenous mental health strategy for the RMWB. RESULTS: Four key themes for setting priorities and directions for Indigenous mental health emerged from roundtable group discussions: 1) understand the realities of mental health experiences for Indigenous peoples, 2) design a holistic and culturally rooted mental health system, 3) foster cross-sectoral engagement and collaboration on mental health service delivery, and 4) focus on children and youth. The community visioning exercise helped stakeholders to visualize a direction or path forward for addressing existing gaps in the mental health system and opportunities for strengthening Indigenous mental health in the region. CONCLUSIONS: Forum participants described mental health and well-being around holistic concepts of social and emotional well-being. Addressing Indigenous mental health and wellness involves multi-sectoral action in various settings including community and school through programs, policies, and other interventions that promote mental health for all Indigenous peoples, as well as for those at greater risk such as children and youth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.046 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".