Do smokers know how to quit? Knowledge and perceived effectiveness of cessation assistance as predictors of cessation behaviour
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIMS: Despite the existence of effective cessation methods, the vast majority of smokers attempt to quit on their own. To date, there is little evidence to explain the low adoption rates for effective forms of cessation assistance, including pharmaceutical aids. This study sought to assess smokers' awareness and perceived effectiveness of cessation methods and to examine the relationship of this knowledge to cessation behaviour. DESIGN: A random-digit-dial telephone survey (response rate = 76%) with 3-month follow-up was conducted with 616 adult daily smokers in South-Western Ontario, Canada. MEASUREMENTS: A baseline survey assessed smoking behaviour, as well as smokers' awareness and perceived effectiveness of cessation assistance. A follow-up survey measured changes in smoking behaviour and adoption of cessation assistance at 3 months. FINDINGS: Participants demonstrated a poor recall of cessation methods: 45% of participants did not recall nicotine gum, 33% did not recall the nicotine patch and 57% did not recall bupropion. Also, many participants did not believe that the following cessation methods would increase their likelihood of quitting: nicotine replacement therapies (36%), bupropion (35%), counselling from a health professional (66%) and group counselling/quit programmes (50%). In addition, 78% of smokers indicated that they were just as likely to quit on their own as they were with assistance. Most important, participants who perceived cessation methods to be effective at baseline, were more likely to intend to quit (OR = 1.80, 95% CI: 1.12-2.90), make a quit attempt at follow-up (OR = 1.80, 95% CI: 1.03-3.16) and to adopt cessation assistance when doing so (OR = 3.62, 95% CI: 1.04-12.58). CONCLUSIONS: This research suggests that many smokers may be unaware of effective cessation methods and most underestimate their benefit. Further, this lack of knowledge may represent a significant barrier to treatment adoption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it