Piloting virtual mentorship: Evaluating acceptability and influence on wellness and professional identity in medical oncology (MO).
Bibliographic record
Abstract
11022 Background: Despite extensive literature on the value of mentorship in academic medicine, little evidence exists to inform mentorship practices in MO. In 2021, the Canadian Association of Medical Oncologists (CAMO) piloted a national, 6-month virtual mentorship program consisting of 2 group mentoring events and additional 1-on-1 mentoring activities, to better support the needs of MO trainees. Feedback was obtained from participants to gain insight into how virtual mentorship might impact physician wellness and formation of professional identity, and to inform future iterations of CAMO’s virtual mentorship strategy. Methods: All Canadian MO residents/fellows were invited to participate in the program. Electronic surveys were completed by participants at baseline, after each group event, and at program completion. Surveys evaluated the program content and format, and used validated questionnaires for evaluating physician wellness/burnout (Stanford Professional Fulfillment Index [SPFI]), and professional identity (Macleod Clark Professional Identity Scale [MCPIS]). Cohort characteristics and survey responses were summarized using descriptive statistics. Procedures for survey data collection and analysis were ethics approved. Results: At baseline, respondents (n = 38) were predominantly female (63%), and < 35 years (76%). 50% were married. On average, 78% of respondents ranked the virtual group mentoring events as meeting expectations. Program strengths identified by participants included meeting mentors outside of their own centre, meeting other trainees from across the country, and learning more about work-life balance/physician wellness. The main critique was insufficient time for interaction. Of the 34 MCPIS respondents, 94% were pleased to belong to the profession of MO, 91% identified positively with members of their profession and 77% felt like a member of the profession themselves. The average score on the SPFI scale was 2.73±0.71 (n = 34). Although 85% of respondents found their work meaningful, 71% satisfying, and 50% felt they were contributing professionally in valued ways, only 38% met criteria for professional fulfilment (score ≥3.00). 27% met criteria for burnout (score ≥1.33), 15% found their work physically exhausting and 9% found their work emotionally exhausting. Conclusions: CAMO’s pilot virtual mentorship program highlights that technology can be successfully leveraged to facilitate mentoring. The majority of MO trainees identified positively with their profession, yet only 38% reached the threshold for professional fulfillment and nearly a third met criteria for burnout. Longitudinal follow-up among mentored trainees is needed to provide insight into whether mentorship may influence physician wellness and professional identity over time.
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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 | 0.018 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".