Cigarette use and smoking cessation goals among pregnant women with opioid use disorder
Bibliographic record
Abstract
INTRODUCTION: Cigarette smoking rates among pregnant women with opioid use disorder (OUD), are significantly higher than those found in the general population. METHODS: We conducted a secondary analysis of baseline data from a multisite, randomized clinical trial comparing two different buprenorphine formulations on outcomes during pregnancy. Cigarette use and smoking cessation goals were evaluated with the Fagerström Test for Nicotine Dependence and the Thoughts About Abstinence (TAA) questionnaire respectively. Factors associated with differences in cigarette use and smoking cessation goals were compared. RESULTS: Among 156 participants, 85 (54.5 %) reported that they currently smoked cigarettes. Most participants had a desire to quit smoking (TAA score = 6), but they had low expectations of success (TAA score = 4) and a relatively high perceived difficulty (TAA score = 6.5) of quitting during pregnancy. Among participants who smoked, less than half (45.5 %) had a smoking cessation goal. Participants who had a smoking cessation goal were significantly more likely to have a stronger desire to quit and higher expectations of success in quitting than participants who did not have a goal. CONCLUSIONS: Many pregnant women with OUD would like to quit or reduce smoking during pregnancy. A combination of pharmacologic and non-pharmacologic interventions to reduce or eliminate cigarette use should be incorporated into obstetric and substance use treatment clinical settings. Smoking cessation interventions should be aligned with patients' goals and preferences. TRIAL REGISTRATION: Clinical Trials.govhttp://www. CLINICALTRIALS: gov; Identifier: NCT03918850.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".