Clerkship Directors’ Practices With Respect to Preparing Students for and Using the National Board of Medical Examiners Subject Exam in Medicine: Results of a United States and Canadian Survey
Bibliographic record
Abstract
PURPOSE: Clerkship directors' practices regarding the National Board of Medical Examiners (NBME) subject exam in medicine are important in enhancing educational evaluation policy. The study's purpose was to determine clerkship directors' use of the subject exam in medicine and related learning activities in the context of curricula and outcomes of the directors' internal medicine clerkships. METHOD: The authors conducted a survey of directors of internal medicine clerkships in 2007. They performed descriptive statistical and multivariate analyses on all responses. RESULTS: Of 110 clerkship directors, 82 responded to the survey, for an overall response rate of 75%. Eighty-eight percent of the clerkship directors required the NBME subject examination in medicine. The mean minimum passing score was 62 (SD = 4.2); this score was not adjusted throughout the academic year, and it contributed 20% to 25% of the final grade. Most (89%) clerkships allowed students a retake after a failed first attempt. Most clerkship directors prepared students for the NBME subject exam in their programs through some combination of lectures, independent self-study, and review sessions with exam-preparation review books. However, 42% of clerkship directors lacked a specific strategy for a retake after a failure. CONCLUSION: Clerkship directors' use of the NBME subject exam in medicine is high. Most allow a retake after a first failure, and a combination of strategies is currently provided to help students prepare. A need exists to develop remediation plans for students who fail the exam. This report may serve as a reference for curricular and programmatic clerkship decisions.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".