Preventing Smoking Relapse In Postpartum Women
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
BACKGROUND: Although many women quit smoking during pregnancy, the majority resume smoking shortly after giving birth. OBJECTIVES: To test a program to prevent smoking relapse in the postpartum period by comparing the rates of continuous smoking abstinence, daily smoking, and smoking cessation self-efficacy in treatment and control groups. METHODS: In a randomized clinical trial, nurses provided face-to-face, in-hospital counseling sessions at birth, followed by telephone counseling. The target population included women who quit smoking during pregnancy and who gave birth at one of five hospitals. The 254 participating women were interviewed 6 months after delivery and assessed biochemically to determine smoking status. RESULTS: The 6-month continuous smoking abstinence rate was 38% in the treatment group and 27% in the control group (odds ratio [OR] = 1.63, 95% confidence interval [CI] .96 - 2.78). Significantly more control (48%) than treatment (34%) group participants reported smoking daily (OR = 1.80, 95% CI = 1.08 - 2.99). Smoking cessation self-efficacy did not vary significantly between the groups. CONCLUSIONS: Smoking cessation interventions focusing on the prenatal period have failed to achieve long-term abstinence. Interventions can be strengthened if they are extended into the postpartum period.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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