The Chronic Care Model: Which Physician Practice Organizations Adapt Best?
Bibliographic record
Abstract
Chronic diseases remain among the major causes of death and disability in Canada as well as in other western industrialized nations. The episodic, punctuated, acute care model of health service delivery that describes the organization and orientation of care delivery is ill prepared to meet the needs of society burdened by chronic illness. The chronic care model (CCM) has been advanced as a way by which primary care practices can be transformed to meet the challenge of chronic illness. The objective of this research is to examine how well primary care physician practices, including walk-in clinics, solo family practices, group family practices, community health centres and physicians practicing in primary care networks, are succeeding at implementing the components of the CCM. Results suggest that physician primary care practices have considerable way to go in implementing the model, with walk-in clinics and solo family practices showing the least progress in inculcating its components.
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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 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| 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 | 0.001 |
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".