The association between patients’ timely access to their usual primary care physician and use of walk-in clinics in Ontario, Canada: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Challenges in timely access to one's usual primary care physician and the ongoing use of walk-in clinics have been major health policy issues in Ontario for over a decade. We sought to determine the association between patient-reported timely access to their usual primary care physician or clinic and their use of walk-in clinics. METHODS: We conducted a cross-sectional study of Ontario residents who had a primary care physician by linking population-based administrative data to Ontario's Health Care Experience Survey, collected between 2013 and 2020. We described sociodemographic characteristics and health care use for users of walk-in clinics and nonusers. We measured the adjusted association between self-reported same-day or next-day access and after-hours access to usual primary care physicians or clinics and the use of walk-in clinics in the previous 12 months. RESULTS: Of the 60 935 total responses from people who had a primary care physician, 16 166 (weighted 28.6%, unweighted 26.5%) reported visiting a walk-in clinic in the previous 12 months. Compared with nonusers, those who used walk-in clinics were predominantly younger, lived in large and medium-sized urban areas and reported a tight, very tight or poor financial situation. Respondents who reported poor same-day or next-day access to their primary care physician or clinic were more likely to report having attended a walk-in clinic in the previous 12 months than those with better access (adjusted odds ratio [OR] 1.23, 95% confidence interval [Cl] 1.13-1.34). Those who reported being unaware that their primary care physician offered after-hours care had a higher likelihood of going to a walk-in clinic (adjusted OR 1.14, 95% Cl 1.07-1.21). INTERPRETATION: In this population-based health survey, patient-reported use of walk-in clinics was associated with a reported lack of access to same-day or next-day care and unawareness of after-hours care by respondents' usual primary care physicians. These findings could inform policies to improve access to primary care, while preserving care continuity.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".