Residents as supervisors: How senior residents make ad hoc entrustment decisions
Bibliographic record
Abstract
BACKGROUND: As residency programmes transition to competency-based medical education, there has been substantial inquiry into understanding how ad hoc entrustment decisions are made by attending supervisors in the clinical context. However, although attendings are ultimately responsible for the decisions and actions of resident trainees, senior residents are often the ones directly supervising junior residents enrolled in competency-based training programmes. This clinical dynamic has been largely overlooked in the ad hoc entrustment literature. The purpose of this study was to explore the considerations senior residents entertain when making ad hoc entrustment decisions for their junior resident colleagues. METHODS: In semi-structured interviews, 11 senior resident supervisors (third, fourth and fifth year) in obstetrics and gynaecology described how they entrust junior residents with clinical activities in the moment. Following constructivist grounded theory methodology, data were iteratively collected and coded with constant comparison until theoretical sufficiency was determined. RESULTS: Senior residents described many similar considerations as attendings regarding ad hoc entrustment of junior residents, including patient safety, desire to optimise the learning environment, junior resident qualities (such as discernment and communication skills), learner handover from colleagues, and situational factors. Uniquely, senior residents discussed how their role as a middle manager and their desire to protect the junior resident (from burnout, becoming a second victim and from attendings) impacts their decisions. CONCLUSIONS: Although senior residents make ad hoc entrustment decisions with some similar considerations to attendings, they also seem to think about additional factors. It may be that these different considerations need to be accommodated in documentation of ad hoc entrustment decisions if these documents are to be used for high-stakes summative entrustment decisions made by competency committees.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".