Patients' perceptions of access to primary care: Analysis of the QUALICOPC Patient Experiences Survey.
Bibliographic record
Abstract
OBJECTIVE: To gain a more comprehensive understanding of patients' perceptions of access to their primary care practice and how these relate to patient characteristics. DESIGN: Cross-sectional study. SETTING: Ontario. PARTICIPANTS: Adult primary care patients in Ontario (N = 1698) completing the Quality and Costs of Primary Care (QUALICOPC) Patient Experiences Survey. MAIN OUTCOME MEASURES: Responses to 11 access-related survey items, analyzed both individually and as a Composite Access Score (CAS). RESULTS: The mean (SD) CAS was 1.78 (0.16) (the highest possible CAS was 2 and the lowest was 1). Most patients (68%) waited more than 1 day for their appointment. By far most (96%) stated that it was easy to obtain their appointment and that they obtained that appointment as soon as they wanted to (87%). There were no statistically significant relationships between CAS and sex, language fluency, income, education, frequency of emergency department use, or chronic disease status. A higher CAS was associated with being older and being born in Canada, better self-reported health, and increased frequency of visits to a doctor. CONCLUSION: Despite criticisms of access to primary care, this study found that Ontario patients belonging to primary care practices have favourable impressions of their access. There were few statistically significant relationships between patient characteristics and access, and these relationships appeared to be weak.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".