Best Practice in Group-Based Smoking Cessation: Results of a Literature Review Applying Effectiveness, Plausibility, and Practicality Criteria
Bibliographic record
Abstract
OBJECTIVE: Apply a "best practices" model to evidence regarding group smoking cessation to inform organizational decisions about adopting such programs. The best-practices model attempts to integrate rigorous review of evidence with context and practical considerations important to organizations contemplating adoption. DATA SOURCES: First, we identified effective practices by systematic literature review with two blinded reviewers to (1) search databases (99.8% agreement), (2) hand search journals with five or more papers selected in first step (99.9% agreement), (3) search reference lists of included papers (99.4% agreement), and (4) contact published experts. Second, model programs, theory, and expert opinion suggested plausible practices. Finally, a practitioner-researcher advisory group suggested practical considerations affecting adoption decisions. STUDY SELECTION: All 67 studies included in the review met six requirements: (1) peer reviewed, (2) primary studies, (3) using experimental or quasi-experimental design, (4) compared one or more smoking-cessation interventions that involved two or more group sessions, (5) studied persons 18+ years old, and (6) reported > or =6-month point prevalence or continuous abstinence outcomes. DATA EXTRACTION: Two independent raters assessed study quality (89.5% agreement). Effective practices consistently exhibited a statistically significant effect. Plausible practices showed consistency across three types of evidence. An advisory group based practicality criteria on critical review and experience. DATA SYNTHESIS: Two practices were rated effective: multicomponent behavioral intervention and nicotine replacement therapy. Five practices received plausible ratings: components of behavioral skills, information about smoking, self-monitoring, social support, and four or more sessions of 60 to 90 minutes. The Advisory Group identified 11 practicality questions to assist organizations to make adoption decisions regarding effective and plausible practices. CONCLUSIONS: No research evidence guides potential smoking-cessation program adopters regarding program participants, providers, settings, or quality assurance. Reviews to influence practice must consider science and practice (context) to facilitate adoption of best practices.
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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 | 0.292 | 0.585 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.011 | 0.018 |
| Bibliometrics | 0.044 | 0.035 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".