Residents’ transformational changes through self-regulated, experiential learning for professionalism
Bibliographic record
Abstract
Purpose: Postgraduate trainees (‘residents”) are required to convey professional behaviours as they navigate complex clinical environments. However, little is known about experiential learning for professionalism. Thus, we asked residents about professionalism challenges within the clinical learning environment: 1) how challenges were identified, 2) what supported successfully addressing challenges and 3) the impact of addressing challenges to further inform resident education. Method: From 2015-2016, twenty-five residents across specialties and multiple university affiliated teaching hospitals participated in appreciative inquiry informed audio-taped semi-structured interviews. Transcripts were categorized deductively for the 2015 CanMEDS Professional Role element addressed (commitment to patients, society, the profession, and physician health). A pragmatic research paradigm focussed descriptive data analysis on actions and outcomes. Results: Residents actively identify opportunities for experiential learning of professionalism within the clinical workplace– addressing conflicting priorities with interprofessional clinicians to ensure excellent patient care, providing informal feedback regarding peers’ and other healthcare clinicians’ professionalism lapses and by gaining self-awareness and maintaining wellness. There were no descriptions of commitment to society. Values, relationships, and reflection supported professional behaviours. Many described transformative personal and professional growth as an outcome of addressing professionalism challenges. Conclusions: Residents self-regulated experiential learning for professionalism often results in transformational changes personally and professionally. Elucidation of how residents successfully navigate power dynamics and conflict to provide excellent patient care and feedback for professional regulatory behaviour will support professionalism education. An interprofessional research lens will be valuable to explore how best to incorporate commitment to society within clinical environments.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.027 | 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".