The impact of care of the elderly certificates of added competence on family physician practice: results from a pan-Canadian multiple case study
Bibliographic record
Abstract
BACKGROUND: Family physicians serve an important role in the care of older adults, and have variable levels of training and comfort navigating this complex patient population. The Care of the Elderly (COE) Certificate of Added Competence offered by The College of Family Physicians of Canada recognizes family physicians with advanced expertise in older adult healthcare. We explored how COE training and certification impacts primary care delivery to older patients, including factors that impact group practice. METHODS: We conducted a secondary analysis of multiple case study data to explore similarities and differences within and across cases. We defined cases as a practice or collective of family physicians working within a defined group of patients in an interconnected community. We analyzed semi-structured interview transcripts (n = 48) from six practice groups of family physicians across Canada using conventional (unconstrained, inductive) content analysis. RESULTS: We identified similarities and differences in how COE family physicians function within their group practice and the broader healthcare system. In some cases, COE certifications increased patients' access to geriatric resources by reducing travel and wait times. Some physicians observed minimal changes in their role or group practice after earning the COE designation, including continuing to largely function as a generalist. While family physicians tended to highly value their COE CAC, this designation was differentially recognized by others. CONCLUSIONS: Our findings highlight the impacts and limitations of COE training and certification, including an opportunity for COE family physicians to fill knowledge and practice gaps. As the number of older adults in Canada continues to grow and increasingly rely on primary care services, COE family physicians are uniquely positioned to strengthen the health system's capacity to deliver specialized geriatric care.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".