The Effectiveness of a Nursing Inpatient Smoking Cessation Program in Individuals With Cardiovascular Disease
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Bibliographic record
Abstract
BACKGROUND: Smoking is an important risk factor for cardiovascular disease (CVD), and quitting is highly beneficial. Yet, less than 30% of CVD patients stop smoking. Relapse-prevention strategies seem most effective when initiated during the exacerbation of the disease. OBJECTIVE: A nurse-delivered inpatient smoking cessation program based on the Transtheoretical Model with telephone follow-up tailored to levels of readiness to quit smoking was evaluated on smoking abstinence and progress to ulterior stages of change. METHOD: Participants (N = 168) were randomly assigned by cohorts to inpatient counseling with telephone follow-up, inpatient counseling, and usual care. The inpatient intervention consisted of a 1-hr counseling session, and the telephone follow-up included 6 calls during the first 2 months after discharge. The nursing intervention was tailored to the individual's stage of change. End points at 2 and 6 months included actual and continuous smoking cessation rates (biochemical markers) and increased motivation (progress to ulterior stages of change). RESULTS: Assuming that surviving patients lost to follow-up were smokers, the 6-month smoking abstinence rate was 41.5% in the inpatient counseling with telephone follow-up group, compared with 30.2% and 20% in the inpatient counseling and usual care groups, respectively (p = .05). Progress to ulterior stages of change was 43.3%, 32.1%, and 18.2%, respectively (p = .02). Stage of change at baseline and intervention predicted smoking status at 6 months. DISCUSSION: This tailored smoking cessation program with telephone follow-up significantly increased smoking cessation at 6 months, and progression to ulterior stages of change. The telephone follow-up was an important adjunct. It is, therefore, recommended to include such comprehensive smoking cessation programs within hospital settings for individuals with CVD.
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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 | 0.005 | 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 | 0.000 |
| 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 it