Exploring cannabis information and perceptions of cannabis harms among patients with cancer.
Notice bibliographique
Résumé
361 Background: Cannabis use is rising among both the general and cancer populations. While the impact of cannabis on cancer care remains unclear, many patients who use cannabis report improvement in their cancer-related symptoms. However, little is known about the potential impact of cannabis on cancer development and treatment outcomes. Understanding patient beliefs about cannabis risks and their awareness of information about cannabis use may be important for future patient education. Here, we explored patient perceptions of harms and information-seeking habits on cannabis. Methods: Patients with cancer were recruited across outpatient ambulatory clinics at the Princess Margaret Cancer Centre (Toronto, Canada) through convenience sampling from July to August 2023. A one-time, paper-based, self-administered questionnaire was used to assess sociodemographic characteristics, perceptions of cannabis harms, and awareness of cannabis information. Multivariable regression analysis was used to identify factors associated with perceptions of cannabis use. Results: Among 243 participants, median age was 65 years, 45% reported lifetime cannabis use (12% were using cannabis at the time of survey), 50% were cigarette smokers, 62% were not employed full-time, and 77% spoke English as a primary language at home. Half (51%) of the participants reported being worried about the potential impacts of cannabis on their health. Current tobacco users (aOR=0.46 [0.19-1.07], p=0.07), primary English speakers at home (aOR=0.53 [0.28-1.01], p=0.06) and those not currently employed (aOR=0.57 [0.33-0.99], p=0.04) were less worried about the effect of cannabis on their health. Despite the perceived harms of cannabis, 84% of participants never sought cannabis-related information, while 40% wanted to know more about the influence of cannabis on cancer risk and treatment. Furthermore, Most (90%) participants reported never having discussed cannabis with their oncologists, but 93% felt it was important for healthcare providers to ask patients about cannabis use. Conclusions: Many patients with cancer are worried about the impact of cannabis on their health and want to know more about cannabis use in cancer care. Most patients report it is important for healthcare providers to have discussions about cannabis use. With the rising prevalence of cannabis use among patients with cancer, validated tools to assess cannabis use and cannabis-related educational resources specific to cancer risk and treatment outcomes should be explored to help address informational needs.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».