Nicotine replacement therapy ‘gift cards’ for hospital inpatients who smoke: a prospective before-and-after controlled pilot evaluation
Bibliographic record
Abstract
INTRODUCTION: A common barrier identified by individuals trying to quit smoking is the cost of cessation pharmacotherapies. The purpose of this evaluation was to: (1) Assess the feasibility of offering nicotine replacement therapy (NRT) 'gift cards' to hospitalised smokers for use posthospitalisation; and, (2) Estimate the effect of providing NRT gift cards on 6-month smoking abstinence. METHODS: A prospective, quasi-experimental, before-and-after controlled cohort design with random sampling was used to compare patients who had received the Ottawa Model for Smoking Cessation (OMSC) intervention ('control') with patients who received the OMSC plus a $C300 Quit Card ('QCI'), which they could use to purchase any brand or form of NRT from any Canadian pharmacy. RESULTS: 750 Quit Cards were distributed to the three participating hospitals of which 707 (94.3%) were distributed to patients. Of the cards received by patients, 532 (75.2%) were used to purchase NRT. A total of 272 participants completed evaluation surveys (148 control; 124 QCI).Point prevalence abstinence rates adjusted for misreporting among survey responders were 15.3% higher in the QCI group, compared with controls (44.4% vs 29.1%; OR 1.95, 1.18-3.21; p=0.009). Satisfaction was high among participants in both groups, and among staff delivering the QCI. QCI participants rated the intervention as high in terms of motivation, ease of use and helpfulness. CONCLUSIONS: The NRT gift card appears to be a feasible and effective smoking cessation tool that removes a primary barrier to the use of evidence-based smoking cessation pharmacotherapies, while motivating both patients and health providers.
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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) | 0.001 | 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".