The effectiveness of NHS smoking cessation services: a systematic review
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
OBJECTIVES: To analyse evidence on the effectiveness of intensive NHS treatments for smoking cessation in helping smokers to quit. METHODS: A systematic review of studies published between 1990 and 2007. Electronic databases were searched for published studies. Unpublished reports were identified from the national research register and experts. RESULTS: Twenty studies were included. They suggest that intensive NHS treatments for smoking cessation are effective in helping smokers to quit. The national evaluation found 4-week carbon monoxide monitoring validated quit rates of 53%, falling to 15% at 1 year. There is some evidence that group treatment may be more effective than one-to-one treatment, and the impact of 'buddy support' varies based on treatment type. Evidence on the effectiveness of in-patient interventions is currently very limited. Younger smokers, females, pregnant smokers and more deprived smokers appear to have lower short-term quit rates than other groups. CONCLUSION: Further research is needed to determine the most effective models of NHS treatment for smoking cessation and the efficacy of those models with subgroups. Factors such as gender, age, socio-economic status and ethnicity appear to influence outcomes, but a current lack of diversity-specific analysis of results makes it impossible to ascertain the differential impact of intervention types on particular subpopulations.
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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 | 0.029 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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