Eskasoni First Nation's transformation of youth mental healthcare: Partnership between a Mi'kmaq community and the ACCESS Open Minds research project in implementing innovative practice and service evaluation
Bibliographic record
Abstract
AIM: ACCESS Open Minds (ACCESS OM) is a pan-Canadian project aimed at improving youth mental healthcare. This paper describes implementation of the ACCESS OM objectives for youth mental health service transformation within a pre-existing Fish Net Model of transformative youth mental healthcare service in the First Nation community of Eskasoni, on Canada's east coast. METHODS: We describe an adaptation of the ACCESS OM service transformation objectives through the complementary blending of Indigenous and Western methodologies. This concept of "Two-Eyed Seeing" is illustrated as central to engaging youth in the community and attending to their mental health needs and wellness. RESULTS: The ACCESS OM Eskasoni First Nation Youth Space acts as a central location for the site team and its activities, which expand into the rest of the community to facilitate early identification of youth in need. Rapid access to care is promoted via barrier-free availability through a central intake crisis and referral centre, and ease of contact through social media and other modalities. Youth are given the choice between standard Western mental health services, or Indigenous methods of improving well-being, or a combination of the two. CONCLUSIONS: The ACCESS OM framework has shown early results of being a positive addition to the Eskasoni community. Local leadership and community buy-in are identified as key factors to success. Further exploration, research, and evaluation of this transformation is ongoing. Successful implementation of this model in Eskasoni could act as a model for youth mental health programmes in other First Nations across Canada.
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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 | 0.029 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".