Impacts of the process and decision‐making around companion animal euthanasia on veterinary wellbeing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A qualitative study using group and individual interviews involving 10 veterinary hospitals in Wellington County, Ontario, explored how the practices involved in euthanasia-related care impacts the wellbeing of veterinary professionals. Thematic analysis indicated two major outcomes: the goal and desire of veterinary professionals was to facilitate a 'good death' for the companion animal and navigating the euthanasia decision process was more challenging than the actual event of performing euthanasia. When successful in achieving a 'good death' and navigating euthanasia decisions, participants reported feeling that their own sense of wellbeing and the veterinary client's sense of wellbeing were improved. When unsuccessful, participants reported experiencing a reduced sense of wellbeing, reduced job satisfaction, increased emotional strain and feeling that the client was also detrimentally impacted. For many participants, navigating euthanasia decision-making consultations was seen as a greater challenge and a greater contributor to a reduced sense of wellbeing than the act of euthanasia itself. These findings suggest that there is a need for greater attention and support for veterinary professionals, particularly when navigating euthanasia decision-making consultations. Additional training and resources on navigating euthanasia consultations may assist in improving the wellbeing for veterinary professionals and the companion animals and owners under their care.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it