Potential barriers to veterinary student access to counselling and other support systems: perceptions of staff and students at a UK veterinary school
Bibliographic record
Abstract
Considerable evidence suggests that veterinary surgeons' mental health is often poorer than comparable populations and that the incidence of suicide is higher among veterinary surgeons than the general public. Veterinary students also appear to suffer from high levels of anxiety and stress, and may possess inadequate coping strategies when faced with adversity. Veterinary students may find it difficult to access central university support systems due to their heavy workload and geographical isolation on some veterinary campuses. A previous study of University of Edinburgh fourth-year veterinary students found that support services located several miles from the main veterinary campus was a barrier to students accessing counselling services. Consequently, a pilot project was initiated, which provided a counselling service at the University of Edinburgh's rural Easter Bush veterinary campus one afternoon a week during 2010. As part of the evaluation of this service, web-based questionnaires were delivered via e-mail to all veterinary staff and students towards the end of the 12-month pilot period to evaluate perceptions of barriers to student counselling and to investigate student-valued support services. Questionnaire responses were received from 35 per cent of veterinary students and 52 per cent of staff. Stigmatisation of being unable to cope was a potent inhibitor of seeking support within the veterinary environment, but counselling was perceived as valuable by the majority of staff and students. Provision of an on-site counselling service was considered important for increasing ease of access; however, students viewed friends and family as their most important support mechanism. Workload was cited as the main cause of veterinary student stress. The majority of staff and student respondents perceived veterinary students as having an increased need for counselling support compared with other students.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".