The Burnaby treatment center for mental health and addiction, a novel integrated treatment program for patients with addiction and concurrent disorders: results from a program evaluation
Bibliographic record
Abstract
BACKGROUND: Patients with addictions and concurrent disorders constitute the most underserved population in the system of care. There are numerous reasons why this population has so much difficulty accessing services, including behavioural issues, criminal engagement, and non-compliance with outpatient services. To improve services to this population which is marked by multiple morbidities, high mortality and insufficient access to health care, the government of British Columbia, Canada developed a program for people with both substance use disorder and one or more mental disorders who have not benefited from previous therapies. METHOD: In July 2008, the Burnaby Treatment Centre for Mental Health and Addiction (BCMHA), a specialized and integrated tertiary care facility, was opened. The current article provides a description of the treatment program and a clinical profile of the population. RESULTS: The target population is being served, at intake clients present with high rates of psychopathology, childhood and adult trauma, and substance use. CONCLUSION: While preliminary, these results indicate, that the novel approach of the Burnaby Centre may constitute a new path towards providing effective recovery for this population.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".