Do new and traditional models of primary care differ with regard to access?: Canadian QUALICOPC study.
Bibliographic record
Abstract
OBJECTIVE: To examine access to primary care in new and traditional models using 2 dimensions of the concept of patient-centred access. DESIGN: An international survey examining the quality and costs of primary health care (the QUALICOPC study) was conducted in 2013 in Canada. This study adopted a descriptive cross-sectional survey method using data from practices across Canada. Each participating practice filled out the Family Physician Survey and the Practice Survey, and patients in each participating practice were asked to complete the Patient Experiences Survey. SETTING: All 10 Canadian provinces. PARTICIPANTS: A total of 759 practices and 7172 patients. MAIN OUTCOME MEASURES: Independent t tests were conducted to examine differences between new and traditional models of care in terms of availability and accommodation, and affordability of care. RESULTS: Of the 759 practices, 407 were identified as having new models of care and 352 were identified as traditional. New models of care were distinct with respect to payment structure, opening hours, and having an interdisciplinary work force. Most participating practices were from large cities or suburban areas. There were few differences between new and traditional models of care regarding accessibility and accommodation in primary care. Patients under new models of care reported easier access to other physicians in the same practice, while patients from traditional models reported seeing their regular family physicians more frequently. There was no difference between the new and traditional models of care with regard to affordability of primary care. Patients attending clinics with new models of care reported that their physicians were more involved with them as a whole person than patients attending clinics based on traditional models did. CONCLUSION: Primary care access issues do not differ strongly between traditional and new models of care; however, patients in the new models of care believed that their physicians were more involved with them as people.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".