Peer mentoring in medical residency education: A systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Medical residents may experience burnout during their training, and a lack of social support. This can impact their overall wellbeing and ability to master key professional competencies. We explored, in this study, the extent to which peer mentorship promotes psychosocial wellbeing and the development of professional competencies in medical residency education. METHODS: We searched six databases (MEDLINE, EMBASE, PsycINFO, Academic Research Complete, ERIC, Education Research Complete) for studies on peer mentoring relationships in medical residency. We selected any study where authors reported on outcomes associated with peer mentoring relationships among medical residents. We applied no date, language, or study design limits to this review. RESULTS: We included nine studies in this systematic review. We found that medical residents received essential psychosocial supports from peers, and motivation to develop academic and career competencies. Medical residents in peer-mentoring relationships also reported increased overall satisfaction with their residency training programs. CONCLUSIONS: Peer-mentoring relationships can enhance the development of key professional competencies and coping mechanisms in medical residency education. Further rigorous research is needed to examine the comparative benefits of informal and formal peer mentoring, and identify best practices with respect to effective design of peer-mentorship programs.
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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 | 0.007 | 0.074 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.096 | 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 it