Description and Disposition of Patients With Cancer Accessing a Novel, Pharmacist-Led Cannabis Consultation Service
Bibliographic record
Abstract
PURPOSE: The Cannabis Consultation Service (CCS) is an innovative pharmacist-led resource at the Sunnybrook Odette Cancer Centre. Its mandate is to provide education and guide patients through access and appropriate use of high-quality plant-derived cannabinoids (PDCs). Our objective was to describe the CCS, explain its processes, and characterize patient disposition with respect to use of PDCs. METHODS: We retrospectively reviewed the charts of patients referred to the CCS from July 13, 2020, to March 05, 2021. We used descriptive statistics to report on the patient population and service metrics. RESULTS: During the 34-week period, 96 patients accessed the CCS (median age, 61 years). The top reasons for CCS consultation were management of cancer pain, insomnia, and general interest. Medical cannabis was supported as an option in 44/96 patients. Reasons for not supporting PDC use included lack of indication, potential drug interaction/contraindication, or requiring treatment with first-line therapy. Of the 40 patients requiring a medical document, 22 initiated therapy. The most common product used was a 2:50 THC:CBD (Tetrahydrocannabinol:Cannabidiol) cannabis oil. At the date of last contact, few patients remained on therapy because of lack of benefit, patient choice, and/or hesitancy. CONCLUSION: Despite patients with cancer having interest in seeking PDCs for symptom management, only a few initiated and continued therapy. Pharmacists have an opportunity to advise patients and the oncology team on the risks and benefits of PDCs. These results can be used to support the development of medical cannabis programs by oncology centers and focus future research priorities.
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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".