The effect on emergency department visits of raised alcohol minimum prices in Saskatchewan, Canada
Bibliographic record
Abstract
INTRODUCTION AND AIMS: The province of Saskatchewan, Canada introduced minimum prices graded by alcohol strength in April 2010. As previous research found this intervention significantly decreased alcohol consumption and alcohol-attributable morbidity, we aim to test the association between the intervention and the rate of emergency department (ED) visits in four alcohol-related injury categories [motor vehicle collisions (MVC), assaults, falls and total alcohol-related injuries]. DESIGN AND METHODS: Data on ED visits in the city of Regina were obtained from the Saskatchewan Ministry of Health. Auto-regressive integrated moving average time series models were used to test the immediate and lagged effects of the pricing intervention on rates of alcohol-related nighttime. ED visits and controlled for daytime rates of ED visits, economic variables, linear and seasonal trends, and auto-regressive and moving average effects. RESULTS: The implementation of an alcohol minimum pricing strategy in Saskatchewan was associated with decreased MVC-related ED visits for women aged 26 and over after a 6 month lag period (-39.4%, P < 0.001). There was no significant abrupt effect of this intervention on ED visits of four injury types in any of four gender-age categories; however, rates of ED visits among young males for MVCs and assaults decreased substantially during this study. DISCUSSION AND CONCLUSIONS: The minimum pricing policy change led to a lagged decrease in motor vehicle-collision-related ED visits for women older than 25. Of note, there did not appear to be an instantaneous effect on the rate of alcohol-related injury ED visits immediately after the policy implementation nor lagged effects for other gender-age groups.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".