Review of instruments for peer assessment of physicians
Bibliographic record
Abstract
OBJECTIVES: To identify existing instruments for rating peers (professional colleagues) in medical practice and to evaluate them in terms of how they have been developed, their validity and reliability, and their appropriateness for use in clinical settings, including primary care. DESIGN: Systematic literature review. DATA SOURCES: Electronic search techniques, snowball sampling, and correspondence with specialists. STUDY SELECTION: The peer assessment instruments identified were evaluated in terms of how they were developed and to what extent, if relevant, their psychometric properties had been determined. RESULTS: A search of six electronic databases identified 4566 possible articles. After appraisal of the abstracts and in depth assessment of 42 articles, three rating scales fulfilled the inclusion criteria and were fully appraised. The three instruments did not meet established standards of instrument development, as no reference was made to a theoretical framework and the published psychometric data omitted essential work on construct and criterion validity. Rater training was absent, and guidance consisted of short written instructions. Two instruments were developed for a hospital setting in the United States and one for a primary care setting in Canada. CONCLUSIONS: The instruments developed to date for physicians to evaluate characteristics of colleagues need further assessment of validity before their widespread use is merited.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".