The Chief Residency in U.S. and Canadian Graduate Medical Education: A Scoping Review
Bibliographic record
Abstract
PHENOMENON: Despite the nearly universal presence of chief residents within U.S. and Canadian residency programs and their critical importance in graduate medical education, to our knowledge, a comprehensive synthesis of publications about chief residency does not exist. An understanding of the current state of the literature can be helpful to program leadership to make evidence-based improvements to the chief residency and for medical education researchers to recognize and fill gaps in the literature. APPROACH: We performed a scoping review of the literature about chief residency. We searched OVID Medline, PsycINFO, ERIC, and Web of Science databases through January 2023 for publications about chief residency. We included publications addressing chief residency in ACGME specialties in the U.S. and Canada and only those using the term "chief resident" to refer to additional responsibilities beyond the typical residency training. We excluded publications using chief residents as a convenience sample. We performed a topic analysis to identify common topics among studies. FINDINGS: We identified 2,064 publications. We performed title and abstract screening on 1,306 and full text review on 208, resulting in 146 included studies. Roughly half of the publications represented the specialties of Internal Medicine (n = 37, 25.3%) and Psychiatry (n = 30, 20.5%). Topic analysis revealed six major topics: (1) selection of chief residents (2) qualities of chief residents (3) training of chief residents (4) roles of chief residents (5) benefits/challenges of chief residency (6) outcomes after chief residency. INSIGHTS: After reviewing our topic analysis, we identified three key areas warranting increased attention with opportunity for future study: (1) addressing equity and bias in chief resident selection (2) establishment of structured expectations, mentorship, and training of chief residents and (3) increased attention to chief resident experience and career development, including potential downsides of the role.
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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 | 0.026 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".