Care of the elderly training: Implications for family medicine.
Bibliographic record
Abstract
OBJECTIVE: To examine the practice patterns and clinical and academic roles of family physicians who have care of the elderly training. DESIGN: Cross-sectional survey. SETTING: Family medicine practices or specialized geriatric services programs. PARTICIPANTS: Fifty-two family physicians, surveyed in 2005 and 2006, identified as having 6 or 12 months' care of the elderly training. MAIN OUTCOME MEASURES: Self-reported practice type and description of clinical and academic roles. RESULTS: Surveys were sent to 103 physicians; the response rate was 50.5% (N = 52). Respondents were relatively young, with a mean age of 42 years. Slightly more respondents had completed 6 months of training than had completed a full year of training (54.9% vs 45.1%). More than half (55.8%) described their medical practice areas as "general family medicine." The remainder worked in "restricted practices" (25.0%) or provided "specialist care" (17.3%); 1 physician was no longer practising medicine. Many provided some care within specialized geriatric service areas, most commonly in-hospital consultation and rehabilitation. More than half (51.9%) provided active hospital care, and a substantial number worked in long-term care facilities as physicians or medical directors. More than 20% provided newborn care, although only a small percentage (7.7%) performed obstetric services. Respondents were actively involved in teaching and other academic activities, including resident supervision. CONCLUSION: Care of the elderly physicians provide comprehensive family medicine services, but also often provide care in other areas currently facing physician shortages. Care of the elderly physicians play relevant clinical and academic roles in both family medicine training and specialized geriatric services.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".