Оптимизация хирургического лечения больных с гормонально-активными опухолями надпочечников
Bibliographic record
Abstract
Globally, tobacco smoke is the leading cause of preventable deaths. Smoking cessation counselling services are widely available in Canada. In British Columbia, our government-funded smoking cessation service offers counselling via phone, text, or email. In this study, we sought to determine whether age, gender, or motivation to quit affect a patient's choice of service modality. We included all adults ≥ 18 years who had used tobacco within 30 days prior to their Emergency Department (ED) visit and who chose to receive phone, text, or email counselling services from November 2011-February 2013 at Vancouver General Hospital as part of a randomized-controlled trial (ClinicalTrials.gov, NCT0145437). A one-way ANOVA was used to compare the mean age of patients in each group. Chi-squared tests of independence were used to determine if gender or motivation to quit were associated with modality selection. In total, 368 patients were included. The average age was 41.7 years and 67% were female. In our study, 44% chose phone, 17% chose text, and 40% chose email services. The average age for patients preferring text services (mean = 33.6 years) was significantly lower than both the email (mean = 41.3 years) and phone (mean = 45.1 years) groups (<i>p</i> < 0.001). Gender and motivation to quit were not associated with service modality choice. Over 80% of ED smokers who accepted a referral to counselling services chose the phone or email modality. The lesser chosen text modality was more popular with younger patients. With further research, smoking cessation counselling services can refine their programs to meet the needs of the population they serve.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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; both teacher heads agree on what is shown here.
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".