“Someone to talk to”: A qualitative study of oncology trainees' experience of mentorship around moral distress
Bibliographic record
Abstract
BACKGROUND: Moral distress is an intrinsic part of healthcare, particularly prevalent in oncology practitioners. Previous studies have suggested mentorship may play a role in combatting moral distress; however, there is a lack of good evidence aimed at understanding trainees' experience with either mentorship or moral distress, including the intersection between the two. METHODS: We conducted a single-centre study in the hermeneutic phenomenological approach at a Canadian academic cancer centre. Six semi-structured interviews with senior oncology trainees were conducted and analysed according to the interpretive profiles hermeneutic phenomenological approach. FINDINGS/RESULTS: Key findings include the idea that trainees do find mentorship valuable and helpful in navigating moral distress, which is described as common and inevitable, with a number of triggers and factors identified. However, a mentorship relationship must involve mutual respect, understanding, and honesty in order to be valuable. Additionally, engaging in open, honest discussions with mentors, particularly more senior individuals, is seen as a risk-benefit balance by trainees; vertical mentors bring more wisdom and experience, but may also have a greater impact on a trainee's future. CONCLUSION: This thought-provoking study highlights mentorship as a potential method to combat the troubling phenomenon of moral distress in oncology trainees.
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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 | 0.028 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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".