Geriatric Training Needs of Nursing-Home Physicians
Bibliographic record
Abstract
Medical care in nursing homes is not provided by board-licensed geriatricians; it mainly comes from physicians in need of educational programs in the field of geriatrics. Such programs, based on curriculum guidelines, should be developed. The purpose of this study was to seek input from nursing home physicians on their perceived needs for training in geriatrics. A mail questionnaire survey was sent to nursing home physicians regarding their opinion on the most needed subjects and preferred training methods. Of the 210 surveys mailed, 132 (63%) were returned. More than a quarter of the respondents had not had any kind of geriatric medical education. A desire for geriatric training was evident, preferably in the form of courses and periodic seminars. Use of medications, infectious diseases, depression, dementia and cardiac disorders were the most important topics indicated by the respondents. These data can be of help in preparing the curriculum for a continuous medical education program in geriatrics, preferably in the form of courses and periodic seminars.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".