Telephone Intervention for Pregnant Smokers A Randomized Controlled Trial
Bibliographic record
Abstract
IntroductionPregnant smokers are advised to quit; however, many struggle to do so. Behavioral counseling can increase quitting success, but the efficacy of telephone counseling for pregnant smokers has not been established. This study tests the efficacy of pregnancy-specific counseling, embedded in the ongoing operations of a state quitline.DesignIn this two-group RCT, participants were randomly assigned to the intervention (telephone counseling plus self-help materials, n=584) or the control group (self-help materials only, n=589).Setting/participantsParticipants were pregnant smokers (N=1,173) in the first 27 weeks of gestation who called a state quitline between September 2000 and May 2003 for help with quitting.InterventionThe primary component of the intervention was telephone counseling using a semi-structured protocol developed specifically for pregnant smokers. It drew its basic structure and clinical content from a previously tested counseling protocol for adult quitline callers, while including pregnancy-specific content and additional counseling sessions (nine rather than the standard five).Main outcome measuresSubjects were evaluated on prolonged abstinence at the third trimester (about 29 weeks' gestation) and at 2 and 6 months postpartum. Data were analyzed in 2015.ResultsAbstinence was higher for the intervention than the control group at the end of pregnancy (30-day abstinence, 29.6% vs 20.1%; p<0.001); 2 months postpartum (90-day abstinence, 22.1% vs 14.8%; p<0.001); and 6 months postpartum (180-day abstinence, 14.4% vs 8.2%; p<0.001). Cotinine-corrected (≤13 ng/mL) 7-day abstinence rates at the end of pregnancy supported the intervention effect (35.8% vs 22.5%, p<0.001).ConclusionsA pregnancy-specific counseling protocol, embedded in a state quitline, was effective in helping pregnant smokers quit and stay quit postpartum. Wide adoption of this intervention could help reduce the rate of maternal smoking and prevent its devastating health consequences.Trial registrationThis study is registered at www.clinicaltrials.gov NCT02144883.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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".