Qualitative Research Informing a Preference Study on Selecting Cannabis for Cancer Survivor Symptom Management: Design of a Discrete Choice Experiment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: The legalization of recreational cannabis use can enable cancer survivors to manage aspects of their care with cannabinoids without medical authorization or stigmatization. However, the absence of medical guidance-from the scientific literature or the healthcare system-makes it difficult for survivors to reach informed decisions about their care. OBJECTIVE: This article outlines the qualitative research undertaken to design a discrete choice experiment (DCE) aimed at understanding Canadian cancer survivors' preferences for managing their cancer symptoms with cannabis in this complex socio-medical context. METHODS: In this study, we drew on previously published qualitative research (a literature review and interviews with cancer survivors) and the theory of planned behavior, holding weekly team meetings to review the qualitative data and identify initial attributes associated with medicinal cannabis consumption to inform the DCE design. The initial attributes were further assessed to determine whether they were sensitive to the Canadian context, modifiable to produce levels and trade-offs, and amenable to policy intervention, in order to form the DCE choice sets. The choice sets were tested via think-aloud exercises with members of the general population and included debriefing interviews. Think-aloud participants were recruited from patient groups and previous studies. RESULTS: Based on our review of the interview study, we identified the following attributes associated with selecting medicinal cannabis: effectiveness; chance of side effects; support from family, friends, and/or physicians; cost; and availability. Ability to perform everyday activities was added and monthly out-of-pocket cost was refined to render the DCE realistic to cancer survivors in the Canadian context. Revisions to the DCE instructions, terminology, and cost levels were made based on results from the think-aloud exercises (n = 10). CONCLUSIONS: This qualitative study outlines the preference evidence collected regarding Canadian cancer survivors' decisions to manage their symptoms with cannabis to inform a DCE quantitative survey. It contributes to transparent reporting of qualitative work in DCE development and to understanding cancer survivors' preferences regarding medicinal cannabis consumption under legalization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it