Emergency Department Use and Enrollment in a Medical Home Providing After-Hours Care
Bibliographic record
Abstract
PURPOSE: Compared with other high-income countries, Canada and the United States have among the highest rates of emergency department use and the lowest rates of primary care physicians reporting arrangements for after-hours care. We assessed whether enrollment in a medical home mandated to provide after-hours care in Ontario, Canada, was associated with reduced emergency department use. METHODS: We conducted a retrospective cohort study using linked administrative data. We included all adult Ontarians enrolled in a medical home between April 1, 2005, and March 31, 2012, who had a minimum of 3 years of outcome data before and after enrollment (N = 2,945,087). We performed a linear segmented analysis with patient-level data to understand the association between initial enrollment in a medical home and emergency department visits, the proportion of all primary care visits occurring on the weekend, and the primary care visit rate. Age, income quintile, comorbidity, and morbidity were included in the modeling as time-varying covariates and sex as a stable variable. RESULTS: The emergency department visit rate increased by 0.8% (95% CI, 0.7% to 0.9%) per year before medical home enrollment and by 1.5% (95% CI, 1.4% to 1.5%) per year after the transition. Enrollment in a medical home was associated with an increase in the proportion of visits that occurred on weekends, but a decrease in the overall primary care visit rate. CONCLUSIONS: Enrollment of adult Ontarians in a primary care medical home offering after-hours care was not associated with a reduction in emergency department use. It will therefore be important to prospectively evaluate policy reforms aimed at improving access to primary care outside of conventional hours.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".