An interpretive phenomenological analysis of formative feedback in anesthesia training: the residents’ perspective
Bibliographic record
Abstract
BACKGROUND: Consistent formative feedback is cornerstone to competency-by-design programs and evidence-based approaches to teaching and learning processes. There has been no published research investigating feedback from residents' perspectives. We explored the value residents place on feedback in routine operating room settings, their experiences, and understanding of the role of feedback in their training and developing professional identity. METHODS: Interpretive phenomenological analysis of residents' experiences with feedback received in clinical settings involved two focus groups with 14 anesthesia residents at two time points. Analysis was completed in the context of a teaching hospital adapting to new practices to align with nationally mandated clinical competencies. Focus group conversations were transcribed and interpreted through the lens of a social constructivist approach to learning as a dynamic inter- and intra-personal process, and evidence-based assessment standards set by the International Test Commission (ITC). RESULTS: Residents described high quality feedback as consistent, effortful, understanding of residents' thought processes, and containing actionable advice for improvement. These qualities of effective evaluation were equally imperative for informal and formal evaluations. Residents commented that highest quality feedback was received informally, and formal evaluations often lacked what they needed for their professional development. CONCLUSION: Residents have a deep sense of what promotes their learning. Structured feedback tools were seen positively, although the most important determinants of their impact were faculty feedback- and broader evaluation-skills and motivations for both formal and informal feedback loops.
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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 | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".