Telephone Counseling for Population-based Smoking Cessation
Bibliographic record
Abstract
OBJECTIVES: To examine the options for use, efficiency, and effectiveness for structuring a population-based telephone smoking-cessation service. METHODS: Callers (n=632) to a 1-800 number were randomized in a 2 (50-minute counseling with 2/6 calls) x 2 (pamphlet/booklet) design with print only control. RESULTS: Six-month use of the service was 0.6% of adult smokers. Service promotion cost 31.02 dollars/person. Telephone counseling resulted in higher continued abstinence (5%) than did print only (1%), P<.05. Amount of print and calls did not increase cessation. Six calls resulted in lower completion rates than 2 (22% vs 56%, P<.05). CONCLUSIONS: For planning, consider 1% use, low-cost promotion, pamphlet, 50-minute initial counseling plus 2 follow-ups, and minimize call-attempts.
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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 | 0.002 | 0.004 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".