Family attitudes about and experiences with medical cannabis in children with cancer or epilepsy: an exploratory qualitative study
Bibliographic record
Abstract
BACKGROUND: Cannabis is legal for recreational and medical use in Canada. Our aim was to explore family experiences using medical cannabis for children with severe conditions in the context of legalization. METHODS: We conducted a qualitative study using semistructured interviews between April and July 2019. Participants were parents of children attending BC Children's Hospital oncology or palliative care clinics, recruited through posters, emails or referral. Participants were included if they spoke English and their child used any type of cannabis for medical purposes. Interviews included open-ended questions about the child's cannabis use. Interviews were recorded and transcribed, and thematic analysis was performed using qualitative description. RESULTS: Ten interviews were completed with 9 mothers and 1 mother-father pair. The age range of the children was 22 months to 16 years. The primary reasons for cannabis use were epilepsy (6 children) or chemotherapy management (4 children). Five major themes were identified. 1) Child and family context, and cannabis as a last resort: children were seen as severely ill; parents sought cannabis out of desperation and responsibility to their child. 2) Varied information sources informed decision-making: parents lacked resources from health care providers and sought support from social media, industry and other families. 3) Cannabis as an ambiguous medicine: cannabis was viewed as both a serious drug that doctors should prescribe and as a natural alternative health product, safe to pursue alone. 4) Perceived effects: parents perceived medical benefits with few concerns about adverse effects. 5) Legal and financial challenges: parents were willing to obtain cannabis despite high costs and uncertain legality. INTERPRETATION: Parents of children with severe conditions pursued medical cannabis despite obstacles and needed unbiased information to access alone. Scientific investigation is needed to develop pediatric medical guidelines to inform decisions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".