A randomised controlled pilot study of standardised counselling and cost-free pharmacotherapy for smoking cessation among stroke and TIA patients
Bibliographic record
Abstract
Background Tobacco use is a major risk factor for recurrent stroke. The provision of cost-free quit smoking medications has been shown to be efficacious in increasing smoking abstinence in the general population. Objective The objective of this pilot study was to assess the feasibility and obtain preliminary data on the effectiveness of providing cost-free quit smoking pharmacotherapy and counselling to smokers identified in a stroke prevention clinic. Trial design Cluster randomised controlled trial. Methods All patients seen at the Ottawa Hospital Stroke Prevention Clinic who smoked more five or more cigarettes per day, were ready to quit smoking in the next 30 days, and were willing to use pharmacotherapy were invited to participate in the study. All participants were advised to quit smoking and treated using a standardised protocol including counselling and pharmacotherapy. Participants were randomly assigned to either a prescription only usual care group or an experimental group who received a 4-week supply of cost-free quit smoking medications and a prescription for medication renewal. All patients received follow-up counselling. The primary outcome was biochemically validated quit rates at 26 weeks. The research coordinator conducting outcome assessment was blind to group allocation. Results Of 219 smokers screened, 73 were eligible, 28 consented and were randomised, and 25 completed the 26-week follow-up assessment. All 28 patients randomised were included in the analysis. The biochemically validated 7-day point prevalence abstinence rate in the experimental group compared to the usual care group was 26.6% vs 15.4% (adjusted OR 2.00, 95% CI 0.33 to 13.26; p=0.20). Conclusions It would be feasible to definitively evaluate this intervention in a large multi-site trial. Trial registration number http://ClinicalTrials.gov # UOHI2010-1.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".