Alignment of Canadian Primary Care With the Patient Medical Home Model: A QUALICO-PC Study
Bibliographic record
Abstract
PURPOSE: The patient medical home (PMH) model aims to improve patient satisfaction and health outcomes in Canada, but since its introduction in 2009, there has been no evaluation of the extent to which primary care conforms with PMH attributes. Our objective was to compare current primary care across Canada with the 10 goals of the PMH model. METHODS: A cross-sectional survey of primary care organization and delivery was conducted in Canadian provinces to evaluate the PMH-based attributes of primary care practices. Family physician and patient responses were mapped to the 10 goals of the PMH model. We used regression models to describe the provinces' success in meeting the goals, taking specific practice characteristics into account. We created a PMH composite score by weighting each goal equally for each practice and aggregating these by province. The PMH score is the sum of the values for each goal, which were scored from 0 to 1; a score of 10 indicates that all 10 goals of the PMH model were achieved. RESULTS: Seven hundred seventy-two primary care practices and 7,172 patients participated in the survey. The average national PMH score was 5.36 (range 4.75-6.23) of 10. Ontario was the only province to score significantly higher than Canada as a whole, whereas Québec, Newfoundland/Labrador, and New Brunswick/Prince Edward Island scored below the national average. There was little variation, however, among provinces in achieving the 10 PMH goals. CONCLUSIONS: Provincial PMH scores indicate considerable room for improvement if the PMH goals are to be fully implemented in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".