Adult Gastroenterology Trainees’ Experience of Receiving Feedback on Their Performance of Endoscopy in the Workplace
Bibliographic record
Abstract
BACKGROUND: Competency-based gastrointestinal endoscopy training is concerned with outcomes of the learning experience. Feedback allows for trainees to achieve the expected outcomes. However, little is known about trainees' experience of receiving feedback. Gaining understanding of their experience could help improve feedback practices. The study was conducted to explore what it means for adult gastroenterology trainees to receive feedback on their performance of endoscopy in the workplace. METHODS: An interpretative phenomenological approach was used. Individual semi-structured interviews were conducted with six trainees from three Canadian adult gastroenterology residency programs. Interviews were audio-recorded and transcribed verbatim for analysis. Analysis was conducted to identify the phenomenological themes across participants' accounts of lived experience to provide an insight into the meaning of experiencing the studied phenomenon. FINDINGS: . Taking pauses allowed for participants to receive feedback on their performance of endoscopy. Participants needed to negotiate attending gastroenterologists' different understandings of gastrointestinal endoscopy while carrying their own whenever feedback was provided. They had to accept the asymmetry between the roles of care provider and learner as well. DISCUSSION: The study has captured the uniqueness and the complexity of the lived experience of receiving feedback on the performance of endoscopy in the workplace from the perspective of study participants. The gained understanding of this experience has enabled the authors to suggest how attending gastroenterologists' feedback practices may be improved.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".