Cannabis in the Emergency Department: The impact of cannabis legalization on cannabis and opioid-related presentations
Notice bibliographique
Résumé
Background: On October 17th, 2018, non-medical cannabis became legal to adults for the first time in Canada. This has created a previously unseen opportunity to investigate the effects of recreational cannabis legalization in a developed country, particularly on strained Emergency Departments (EDs). Secondly, reports within the United States have suggested state-level legalization of cannabis, both recreationally and medically, has resulted in a decrease of opiate-related presentations. Given the pressure of the opiate crisis on healthcare resources, we sought to examine if this trend was present in Alberta.
 Objectives: The current study aims to identify if presentation patterns in adult and pediatric populations have changed when comparing pre- and post-legalization periods, and if rural-urban disparities exist. We also aim to identify if the legalization of cannabis is correlated with a reduction in opiate-related ED presentations. Lastly, we aimed to address the aforementioned objectives in the context of telehealth by examining calls to poison control and HealthLink within Alberta. 
 Methods: Retrospective data was collected from the National Ambulatory Care Reporting System, HealthLink, and Poison and Drug Information Service. Extraction is currently in progress, and we expect to include 20 000 records and 12 000 calls. An interrupted time-series analysis will be completed, allowing for a comparison of trends pre- and post-legalization. Participants have been identified based on International Disease Classifications for cannabis and opiate-related injury. Commonly reported injuries will be clustered to identify changes in injury patterns. Data was collected from October 1st 2013 up to May 31st, 2019 for all EDs within Alberta. 
 Results: Preliminary results suggest the legalization of cannabis initially led to a dramatic increase in ED presentations, followed by a return to pre-legalization volume. HealthLink data suggests a different trend, with steadily increasing calls in the months prior to legalization, followed by stabilization. Cannabis legalization is also correlated with a decrease in post-legalization opiate-related calls (r=-0.51, p=0.01). 
 Conclusion: Overall, national legalization of cannabis appears to be responsible for a short period of increased ED usage, but does not appear to have long-lasting effects on healthcare resource utilization. Differences are apparent between telehealth service and ED use.
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Comment cette classification a été obtenuedéplier
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».