Community orientation in primary care practices: Results from the Comparison of Models of Primary Health Care in Ontario Study.
Bibliographic record
Abstract
OBJECTIVE: To determine which of 4 organizational models of primary care in Ontario were more community oriented. DESIGN: Cross-sectional investigation using practice and provider surveys derived from the Primary Care Assessment Tool, with nested qualitative case studies (2 practices per model). SETTING: Thirty-five fee-for-service family practices (including family health groups), 32 health service organizations, 35 family health networks, and 35 community health centres (CHCs) in Ontario. PARTICIPANTS: A total of 137 practices and 363 providers. MAIN OUTCOME MEASURES: Community orientation (CO) was assessed from the perspectives of the practices and the providers working in them. Practice CO scores reflect activities that practices use to reach out to their communities, assess the needs of their communities, and monitor or evaluate the effectiveness of their programs and services. The self-rated provider CO score reflects providers' participation in home visits and their perceptions of their own degree of CO. RESULTS: At the practice level, CHCs had significantly higher CO scores than the other models did (P < .001 for most differences); in fact, the other models rarely reported meaningful levels of CO. Self-rated provider CO scores were also higher in CHCs, but were present in other models as well. CONCLUSION: Primary care providers in Ontario give themselves high ratings for CO; however, indicators of CO activity at the practice level were found to a significantly higher degree in CHCs than in the other models.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".