The Assessment of Emergency Physicians by a Regulatory Authority
Bibliographic record
Abstract
OBJECTIVES: To determine whether it is possible to develop a feasible, valid, and reliable multisource feedback program (360 degree evaluation) for emergency physicians. METHODS: Surveys with 16, 20, 30, and 31 items were developed to assess emergency physicians by 25 patients, eight coworkers, eight medical colleagues, and self, respectively, using five-point scales along with an "unable to assess" category. Items addressed key competencies related to communication skills, professionalism, collegiality, and self-management. RESULTS: Data from 187 physicians who identified themselves as emergency physicians were available. The mean number of respondents per physician was 21.6 (SD +/- 3.87) (93%) for patients, 7.6 (SD +/- 0.89) (96%) for coworkers, and 7.7 (SD +/- 0.61) (95%) for medical colleagues, suggesting it was a feasible tool. Only the patient survey had four items with "unable to assess" percentages > or = 15%. The factor analysis indicated there were two factors on the patient questionnaire (communication/professionalism and patient education), two on the coworker survey (communication/collegiality and professionalism), and four on the medical colleague questionnaire (clinical performance, professionalism, self-management, and record management) that accounted for 80.0%, 62.5%, and 71.9% of the variance on the surveys, respectively. The factors were consistent with the intent of the instruments, providing empirical evidence of validity for the instruments. Reliability was established for the instruments (Cronbach's alpha > 0.94) and for each physician (generalizability coefficients were 0.68 for patients, 0.85 for coworkers, and 0.84 for medical colleagues). CONCLUSIONS: The psychometric examination of the data suggests that the instruments developed to assess emergency physicians were feasible and provide evidence for validity and reliability.
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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 | 0.039 | 0.206 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".