Clarifying rural‐urban disparities in alcohol‐related emergency department visits and hospitalizations in Ontario, Canada: A spatial analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Rates of alcohol-related harm are higher in rural versus urban Canada. This study characterized the spatial distribution and regional determinants of alcohol-related emergency department (ED) visits and hospitalizations in Ontario to better understand this rural-urban disparity. METHODS: This was a cross-sectional spatial analysis of rates of alcohol-related ED visits and hospitalizations by Ministry of Health subregion (n = 76) in Ontario, Canada between 2016 and 2019. Regional hot- and cold-spots of alcohol-related harm were identified using spatial autocorrelation methods. Rurality was measured as the population weighted geographic remoteness of a subregion. The associations between rurality and rates of alcohol-related ED visits and hospitalizations were evaluated using hierarchical Bayesian spatial regression models. FINDINGS: Rates of alcohol-related ED visits and hospitalizations varied substantially between subregions, with high rates clustering in Northern Ontario. Overall, increasing rurality was associated with higher subregion-level rates of alcohol-related ED visits (males adjusted relative rate [aRR]: 1.67, 95% credible interval [CI]: 1.49-1.87; females aRR: 1.78, 95% CI: 1.60-1.98) and hospitalizations (males aRR: 1.34, 95% CI: 1.24-1.45; females aRR: 1.59, 95% CI: 1.45-1.74). However, after the province was separated into Northern and Southern strata, this association only held in Northern subregions. In contrast, increasing rurality was associated with lower rates of alcohol-related ED visits in Southern subregions (males aRR: 0.87, 95% CI: 0.79-0.96; females aRR: 0.88, 95% CI: 0.81-0.97). CONCLUSIONS: There are regional differences in the association between rurality and alcohol-related health service use. This regional variation should be considered when developing health policies to minimize geographic disparities in alcohol-related harm.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it