Virtue and care ethics & humanism in medical education: a scoping review
Bibliographic record
Abstract
PURPOSE: This scoping review explores how virtue and care ethics are incorporated into health professions education and how these factors may relate to the development of humanistic patient care. METHOD: Our team identified citations in the literature emphasizing virtue ethics and care ethics (in PubMed, NLM Catalog, WorldCat, EthicsShare, EthxWeb, Globethics.net , Philosopher's Index, and ProQuest Central) lending themselves to constructs of humanism curricula. Our exclusion criteria consisted of non-English articles, those not addressing virtue and care ethics and humanism in medical pedagogy, and those not addressing aspects of character in health ethics. We examined in a stepwise fashion whether citations: 1) Contained definitions of virtue and care ethics; 2) Implemented virtue and care ethics in health care curricula; and 3) Evidenced patient-directed caregiver humanism. RESULTS: Eight hundred eleven citations were identified, 88 intensively reviewed, and the final 25 analyzed in-depth. We identified multiple key themes with relevant metaphors associated with virtue/care ethics, curricula, and humanism education. CONCLUSIONS: This research sought to better understand how virtue and care ethics can potentially promote humanism and identified themes that facilitate and impede this mission.
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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 | 0.033 | 0.438 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.034 |
| Insufficient payload (model declined to judge) | 0.046 | 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; both teacher heads agree on what is shown here.
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".