Community-wide measures of wellness in a remote First Nations community experiencing opioid dependence: evaluating outpatient buprenorphine-naloxone substitution therapy in the context of a First Nations healing program.
Bibliographic record
Abstract
OBJECTIVE: To document the development of unique opioid-dependence treatment in remote communities that combines First Nations healing strategies and substitution therapy with buprenorphine-naloxone. DESIGN: Quantitative measurements of community wellness and response to community-based opioid-dependence treatment. SETTING: Remote First Nations community in northwestern Ontario. PARTICIPANTS: A total of 140 self-referred opioid-dependent community members. INTERVENTION: Community-developed program of First Nations healing, addiction treatment, and substitution therapy. MAIN OUTCOME MEASURES: Community-wide measures of wellness: number of criminal charges, addiction-related medical evacuations, child protection agency cases, school attendance, and attendance at community events. RESULTS: The age-adjusted adult rate of opioid-dependence treatment was 41%. One year after the development of the in-community healing and substitution therapy program for opioid dependence, police criminal charges had fallen by 61.1%, child protection cases had fallen by 58.3%, school attendance had increased by 33.3%, and seasonal influenza immunizations had dramatically gone up by 350.0%. Attendance at community events is now robust, and sales at the local general store have gone up almost 20%. CONCLUSION: Community-wide wellness measures have undergone dramatic public health changes since the development of a First Nations healing program involving opioid substitution therapy with buprenorphine-naloxone. Funding for such programs is ad hoc and temporary, and this threatens the survival of the described program and other such programs developing in this region, which has been strongly affected by an opioid-dependence epidemic.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".