Evidence map›Paper›PMID 41846834›Full record

ArticleFrontiers in public health2026

Impact of the LCBO strike on Ontario emergency department visits with an alcohol-related chief complaint: a natural experiment in alcohol policy.

Melissa Wan, Janice Mok, Angela Ma, Megan A Carter, Allison Maier, Nancy Slipp, Adam van Dijk, Harmun Dhindsa, Daphne Mayer, Piotr Oglaza

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Melissa WanDepartment of Family Medicine, Queen's University, Kingston, ON, Canada.
Janice MokDepartment of Family Medicine, Queen's University, Kingston, ON, Canada.
Angela MaDepartment of Family Medicine, Queen's University, Kingston, ON, Canada.
Megan A CarterSoutheast Public Health, Kingston, ON, Canada.
Allison MaierSoutheast Public Health, Kingston, ON, Canada.
Nancy SlippSoutheast Public Health, Kingston, ON, Canada.
Adam van DijkSoutheast Public Health, Kingston, ON, Canada.
Harmun DhindsaSoutheast Public Health, Kingston, ON, Canada.
Daphne MayerSoutheast Public Health, Kingston, ON, Canada.
Piotr OglazaSoutheast Public Health, Kingston, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alcohol is a leading preventable cause of death and disability in Canada. Alcohol-related emergency department (ED) visits place a substantial burden on the health system, with evidence that greater alcohol availability contributes to higher utilization and related harms. The July 2024 Liquor Control Board of Ontario (LCBO) strike provided a natural experiment to evaluate the impact of reduced alcohol availability on healthcare utilization. Methods: An interrupted time series analysis was conducted to evaluate ED visits with an alcohol-related chief complaint, as captured in the Acute Care Enhanced Surveillance System for Ontario, across three time periods: before, during, and after the LCBO strike. Run charts were utilized to compare visit patterns with historical trends. Poisson regression models, both unadjusted and adjusted for weekly temporal patterns, were used to assess changes in visit rates. Results: ED visits with an alcohol-related chief complaint decreased by 24% during the LCBO closure (aRR: 0.76, 95% CI 0.66-0.88) and declined over the strike period (aRR: 0.98, 95% CI 0.97 - 1.00). They increased by 32% when LCBOs reopened (aRR: 1.32, 95% CI 1.02 - 1.70). Comparing 2024 7-day moving averages with 2023 values (± 1SD and ± 2SD) demonstrated that ED visits during the 2024 closure were significantly lower than in 2023. Interpretation: Reduced alcohol availability during the LCBO strike was associated with a significant decline in ED visits with an alcohol-related complaint, underscoring the potential health system benefits of reducing alcohol availability. The findings may inform policymakers considering measures to reduce alcohol-related healthcare burdens.

Indexed as

Alcoholic BeveragesEmergency Room VisitsEmergency Service, HospitalDrinking EstablishmentsHumansInterrupted Time Series AnalysisOntarioacute care usealcohol availabilityalcohol policynatural experimentpoisson regression analysissyndromic surveillance

Identifiers

PMID41846834
PMCPMC12989566

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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.