Compassion Fatigue Rounds (CFR): A Proactive Brief Intervention to Introduce Mental Health Awareness in a Veterinary Clerkship
Bibliographic record
Abstract
The mental health and well-being of veterinary students and graduate veterinarians is a critical area of concern. Veterinary students experience high levels of psychological distress, particularly during transitional periods such as clinical training. While mental health interventions typically target pre-clinical years, the unique challenges faced by clinical students are often overlooked, resulting in inadequate support during important periods of professional development. To address this gap, Compassion Fatigue Rounds (CFR) were introduced. CFR is a proactive, integrated intervention within one clinical clerkship program. The rounds address compassion fatigue, burnout, and self-care practices through a small group discussion facilitated by the clinical instructor. An evaluation of CFR was conducted through anonymous online student surveys administered between March and September 2023. Following CFR, students self-reported an increase in knowledge, confidence, and preparedness regarding the mental health challenges in veterinary medicine. Students overwhelmingly reported positive experiences, pointing to the potential effectiveness of CFR in educating, engaging, and supporting clinical students on mental health well-being. This study offers preliminary evidence for integrating mental health education into the clinical year curriculum and serves as a practical guide for clinical instructors.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".