Geriatric psychiatry education in Canada: the pathway to subspecialty recognition
Bibliographic record
Abstract
BACKGROUND: This paper outlines the evolution of the training of Canadian physicians and other professionals in the mental health care needs of older adults over the past 2 decades, which has culminated in long-awaited subspecialty recognition by the Royal College of Physicians and Surgeons of Canada (RCPSC). Despite the fact that Canada has more than 4000 psychiatrists officially recognized by RCPSC, and a national body of more than 200 members who practice primarily in geriatric psychiatry, the status of geriatric psychiatry as a subspecialty of psychiatry in Canada remained "unofficial" until 2009. METHODS: Early along the pathway toward subspecialization, Canadian educational efforts focused on enhancing the capacity of primary care physicians and other mental health professionals to meet the mental health needs of older adults. Over the past decade, and with the encouragement of RCPSC, Canadian psychiatric educators have carefully and collaboratively defined the competencies necessary for general psychiatrists to practice across the life span, thereby influencing the psychiatry training programs to include dedicated time in geriatric psychiatry, and a more consistently defined training experience. RESULTS: With these two important building blocks in place, Canadian psychiatry was truly ready to move ahead with subspecialization. Three new psychiatric subspecialties - geriatric, child and adolescent, and forensic - were approved at the RCPSC in September 2009. CONCLUSIONS: The developments of the past 20 years have paved the way for a subspecialty geriatric psychiatry curriculum that will be well-aligned with a new general psychiatry curriculum, and ready to complement the existing mental health work force with subspecialized skills aimed at caring for the most complex elderly patients.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".