Evidence map›Paper›PMID 33906699›Full record

ArticleInjury epidemiology2021

Cohort study of medical cannabis authorization and motor vehicle crash-related healthcare visits in 2014-2017 in Ontario, Canada.

Cerina Lee, Don Voaklander, Jasjeet K Minhas-Sandhu, John G Hanlon, Elaine Hyshka, Jason R B Dyck, Dean T Eurich

Abstract read
In one paragraph

Article in Injury epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Cerina LeeSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation 11,203-87 Avenue, Edmonton, Alberta, AB T6G 2E1, Canada.
Don VoaklanderSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation 11,203-87 Avenue, Edmonton, Alberta, AB T6G 2E1, Canada.
Jasjeet K Minhas-SandhuSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation 11,203-87 Avenue, Edmonton, Alberta, AB T6G 2E1, Canada.
John G HanlonSt. Michael's Hospital Department of Anesthesia, University of Toronto, Toronto, Ontario, Canada.
Elaine HyshkaSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation 11,203-87 Avenue, Edmonton, Alberta, AB T6G 2E1, Canada.
Jason R B DyckCardiovascular Research Centre, Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Dean T EurichSchool of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation 11,203-87 Avenue, Edmonton, Alberta, AB T6G 2E1, Canada. deurich@ualberta.ca.ORCID http://orcid.org/0000-0003-2197-0463

Funding

CIHR CIHR PS 159668
6 · The paper itself

Abstract

backgroundWith increasing numbers of countries/jurisdictions legalizing cannabis, cannabis impaired driving has become a serious public health concern. Despite substantive research linking cannabis use with higher rates of motor vehicle crashes (MVC), there is an absence of conclusive evidence linking MVC risk with medical cannabis use. In fact, there is no clear understanding of the impact of medical cannabis use on short- and long-term motor vehicle-related healthcare visits. This study assesses the impact of medical cannabis authorization on motor vehicle-related health utilization visits (hospitalizations, ambulatory care, emergency department visits, etc) between 2014 and 2017 in Ontario, Canada.

methodsA matched cohort study was conducted on patients authorized to use medical cannabis and controls who did not receive authorization for medical cannabis - in Ontario, Canada. Overall, 29,153 adult patients were identified and subsequently linked to the administrative databases of the Ontario Ministry of Health, providing up to at least 6 months of longitudinal follow-up data following the initial medical cannabis consultation. Interrupted time series analyses was conducted to evaluate the change in rates of healthcare utilization as a result of MVC 6 months before and 6 months after medical cannabis authorization.

resultsOver the 6-month follow-up period, MVC-related visits in medical cannabis patients were 0.50 visits/10000 patients (p = 0.61) and - 0.31 visits/10000 patients (p = 0.64) for MVC-related visits in controls. Overall, authorization for medical cannabis was associated with an immediate decrease in MVC-related visits of - 2.42 visits/10000 patients (p = 0.014) followed by a statistically significant increased rate of MVC-related visits (+ 0.89 events/10,000 in those authorized medical cannabis) relative to controls in the period following their authorization(p = 0.0019). Overall, after accounting for both the immediate and trend effects, authorization for medical cannabis was associated with an increase of 2.92 events/10,000 (95%CI 0.64 to 5.19) over the entire follow-up period. This effect was largely driven by MVC-related emergency department visits (+ 0.80 events/10,000, p < 0.001).

conclusionsOverall, there was an association between medical cannabis authorization and healthcare utilization, at the population level, in Ontario, Canada. These findings have public health importance and patients and clinicians should be fully educated on the potential risks. Continued follow-up of medically authorized cannabis patients is warranted to fully comprehend long-term impact on motor vehicle crash risk.

Indexed as

Healthcare utilizationMedical cannabisMotor vehicle crashPublic health

Identifiers

PMID33906699
PMCPMC8080313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.