Outcomes of a tobacco treatment programme for individuals with severe and persistent mental illness attending a community mental health team
Bibliographic record
Abstract
Introduction: Individuals with severe and persistent mental illnesses have a greater prevalence of smoking than the general population and are disproportionately affected by tobacco-related morbidity and mortality. Evidence-based tobacco treatment can aid such populations in their efforts at smoking cessation. Few studies have examined the effectiveness of tobacco treatment programmes within Mental Health and Addictions Services in Canada. Aims: This study examines outcomes from an evidence-based tobacco treatment programme provided within community mental health services in Vancouver, Canada. Methods: A retrospective chart review was conducted of 134 participants (from June 2010 to February 2012). Information on demographics, tobacco use and cessation history, substance use history, psychiatric disorder diagnosis, expired carbon monoxide level, and duration of treatment in the programme were obtained. Programme completion and smoking cessation/reduction were examined. Results: Sixty-seven per cent completed the programme. Of those who completed, 26.7% were abstinent at the end-of-treatment and 50% (of those not achieving abstinence) reduced their consumption to at least 50% of their baseline cigarette consumption. Predictors of smoking cessation included having a social support for smoking cessation and lower nicotine dependence at baseline. Conclusions: Evidence-based tobacco treatment within community mental health services is well received by individuals with severe and persistent mental illness. Such treatment can aid in their efforts towards smoking cessation. Future studies may need to assess factors that can enhance the integration of tobacco treatment within mental health services while providing tailored treatment that addresses the unique needs of smokers who have severe and persistent mental illness.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".