Values and preferences towards medical cannabis among people living with chronic pain: a mixed-methods systematic review
Bibliographic record
Abstract
OBJECTIVE: To explore values and preferences towards medical cannabis among people living with chronic pain. DESIGN: Mixed-methods systematic review. DATA SOURCES: We searched MEDLINE, EMBASE and PsycINFO from inception to 17 March 2020. STUDY SELECTION: Pairs of reviewers independently screened search results and included quantitative, qualitative and mixed-methods studies reporting values and preferences towards medical cannabis among people living with chronic pain. REVIEW METHODS: We analysed data using meta-narrative synthesis (quantitative findings were qualitised) and tabulated review findings according to identified themes. We used the Grading of Recommendations Assessment, Development and Evaluation approach to assess certainty of evidence. RESULTS: Of 1838 initial records, 15 studies proved eligible for review. High to moderate certainty evidence showed that patient's use of medical cannabis for chronic pain was influenced by both positive (eg, support from friends and family) and negative social factors (eg, stigma surrounding cannabis use). Most patients using medical cannabis favoured products with balanced ratios of tetrahydrocannabinol (THC) and cannabidiol (CBD), or high levels of CBD, but not high THC preparations. Many valued the effectiveness of medical cannabis for symptom management even when experiencing adverse events related to concentration, memory or fatigue. Reducing use of prescription medication was a motivating factor for use of medical cannabis, and concerns regarding addiction, losing control or acting strangely were disincentives. Out-of-pocket costs were a barrier, whereas legalisation of medical cannabis improved access and incentivised use.Low to very low certainty evidence suggested highly variable values towards medical cannabis among people living with chronic pain. Individuals with pain related to life-limiting disease were more willing to use medical cannabis, and preferred oral over inhaled administration. CONCLUSIONS: Our findings highlight factors that clinicians should consider when discussing medical cannabis. The variability of patients' values and preferences emphasise the need for shared decision making when considering medical cannabis for chronic pain.
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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 | 0.021 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".