The Experiences of People Who Smoke With Type 2 Diabetes
Bibliographic record
Abstract
ABSTRACT: Few interventions to support smoking cessation include content specifically about diabetes. This is problematic, as people with diabetes face unique challenges when they stop smoking. The purpose of this study was to understand patients' needs and challenges in relation to smoking with Type 2 diabetes and assess the acceptability of a text message intervention to support smoking cessation. People who smoke and have Type 2 diabetes in the United States and the United Kingdom were recruited to participate in semistructured interviews (n = 20), guided by the Capability, Opportunity, Motivation, and Behavior model. A combination of inductive and deductive approaches with framework analysis was used to analyze the data. Results indicated that the participants' experiences related to the constructs of the Capability, Opportunity, Motivation, and Behavior model and the categories of mental health and diabetes distress were also notable parts of their experiences. Results can be used to guide intervention development in this unique group.
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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 | 0.000 |
| 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 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".