Effectiveness of an enhanced peer assessment program: Introducing education into regulatory assessment
Bibliographic record
Abstract
INTRODUCTION: The College of Physicians and Surgeons of Ontario developed an enhanced peer assessment (EPA), the goal of which was to provide participating physicians educational value by helping them identify specific learning needs and aligning the assessment process with the principles of continuing education and professional development. In this article, we examine the educational value of the EPA and whether physicians will change their practice as a result of the recommendations received during the assessment. METHODS: A group of 41 randomly selected physicians (23 general or family practitioners, 7 obstetrician-gynecologists, and 11 general surgeons) agreed to participate in the EPA pilot. Nine experienced peer assessors were trained in the principles of knowledge translation and the use of practice resources (tool kits) and clinical practice guidelines. The EPA was evaluated through the use of a postassessment questionnaire and focus groups. RESULTS: The physicians felt that the EPA was fair and educationally valuable. Most focus group participants indicated that they implemented recommendations made by the assessor and made changes to some aspect of their practice. The physicians' suggestions for improvement included expanding the assessment beyond the current medical record review and interview format (eg, to include multisource feedback), having assessments occur at regular intervals (eg, every 5 to 10 years), and improving the administrative process by which physicians apply for educational credit for EPA activities. CONCLUSIONS: The EPA pilot study has demonstrated that providing detailed individualized feedback and optimizing the one-to-one interaction between assessors and physicians is a promising method for changing physician behavior. The college has started the process of aligning all its peer assessments with the principles of continuing professional development outlined in the EPA model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.027 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".