A Population-based Study of the Association Between Socioeconomic Status and Emergency Department Utilization in Ontario, Canada
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: The relative effects of socioeconomic status (SES) and health status on emergency department (ED) utilization are controversial. The authors examined this in a setting with universal health coverage. METHODS: For Ontario participants age 20-74 years, Canadian Community Health Survey 2000 to 2001 responses were linked to Ontario Health Insurance Plan (OHIP) physician utilization data for 1999 to 2001 and the National Ambulatory Care Reporting System (NACRS) for ED utilization in 2002. SES was defined primarily according to high school completion and secondarily according to income. The primary outcome was less urgent ED visit, defined as Canadian Triage and Acuity Scale (CTAS) 4 or 5 and not admitted to hospital. RESULTS: The weighted sample was 9,323,217. Overall, 31.4% of the sample used an Ontario ED in 2002. The majority of visits (59.1%) were classified as less urgent. Fair or poor self-perceived health was the largest predictor of ED use, regardless of visit urgency. Respondents with low education were more likely to have both less urgent visits (odds ratio [OR] = 1.65, 95% confidence interval [CI] = 1.35 to 1.94) and more urgent visits (OR = 1.39, 95% CI = 1.09 to 1.68) after controlling for age, sex, income, self-perceived health, urban or rural location, regular doctor, and non-ED physician visits. Education was not associated with having less urgent versus more urgent visits (OR = 0.92, 95% CI = 0.68 to 1.14). CONCLUSIONS: In a setting with universal health insurance, worse health status is the largest predictor of ED utilization, but low SES is independently associated with increased use of the ED, regardless of visit urgency. This study lends support to findings in other health systems that those using EDs are more ill and more disadvantaged.
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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 | 0.000 |
| 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) | 0.002 | 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