Clinical Ethics Fellowship Programs in the United States and Canada: Program Directors’ Opinions About Accreditation and Funding
Bibliographic record
Abstract
To succeed, an accreditation process for clinical ethics fellowship programs (CEFPs) would need support from CEFP directors. To assess CEFP directors' opinions, we surveyed all 36 CEFP directors in the United States and Canada, achieving a 100% response rate. We found that support for accreditation is strong, with 30.6% strongly supportive, 44.4% supportive, 22.2% neutral, 2.8% opposed, and 0% strongly opposed. Most directors (77.8%) would be likely to apply for accreditation within the next five years regardless of the availability of government funding; even more (86.1%) would apply if government funding became available for accredited programs. Most directors thought that lack of a national accreditation process (75.0%), lack of agreed-upon standards (90.0%), and lack of funding for CEFPs (91.7%) were at least moderate problems for the field. When directors were asked what they thought was the greatest challenge or barrier to developing an accreditation process, many mentioned the diversity of programs and the challenge of achieving consensus on accreditation standards. Directors offered a variety of suggestions for how to overcome or manage challenges or barriers, including collecting data on existing programs, mirroring standards established for other health professions, and setting clear expectations on the need for compromise. When directors were asked how they expected that accreditation and government funding would affect their own programs, the field of clinical ethics, and patient care, directors mostly had very positive expectations; no director expected negative effects in any of these areas. Overall, this study provides evidence that developing an accreditation process for CEFPs would be both possible and desirable. Our findings have immediate practical implications for the field and will inform efforts that are already underway to establish an accreditation process for CEFPs.
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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 | 0.030 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.024 |
| 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; 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".