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Record W1822145045

Burnout and health promotion in veterinary medicine.

2013· article· en· W1822145045 on OpenAlex
Brenda Lovell, Raymond T. Lee

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBurnoutCompassion fatigueEmotional exhaustionMedicinePromotion (chess)Mental healthFamily medicineNursingVeterinary medicinePsychiatryClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

Burnout is on the rise among the helping professions such as human and veterinary medicine, and negatively affects personal and professional wellbeing, and the provision of quality care to clients and animals. Even more significant is that veterinarians are reported to have the highest incidence rate of suicide among all occupations, and twice as high as physicians and dentists (1). Indeed, 85% of American Veterinary Medical Association convention attendees indicated that stress and burnout (includes compassion fatigue) were the most important wellness issues affecting the veterinary community (2). Seventy-six percent believed that there were not adequate resources to deal with wellness issues (2). Much research attention is now being focused on the emotional exhaustion component of burnout, as it has been increasingly shown to be correlated with physical and mental health. Progress is also being made to relate other variables such as work/life conflict, and communications with burnout. A case in point was our research study among Canadian physicians. We found that having positive emotions and responsive communications with patients reduced burnout, but when difficult emotions were kept hidden or insincere, burnout increased (3). Of the 3 burnout dimensions, emotional exhaustion contributed to symptoms of strain. We also found that less experienced physicians reported higher stress levels than those who were more experienced, and female physicians reported higher stress than their male colleagues. Comparable findings are drawn for veterinary medicine in which Australian female veterinary surgeons and those with less experience also reported higher stress levels (4). Many clients regard their companion animals as cherished family members; consequently, they have high expectations that emotional and medical needs will be met (5). Recognition of the human-companion animal bond is the very core of the bond-centered approach for veterinary practice. It involves recognizing and responding to the unique emotional interchange, in a way that benefits all of the participants involved (6). Thus, good communication is likely to result in strong client relationships, and an indicator of those more likely to follow treatment recommendations (5–6). To be engaging and responsive to clients often involves intense and constant emotions, along with other forms of verbal and non-verbal communications. This is no easy task, as the skills needed to manage people and emotions, emotionally volatile clients, and the feelings that arise from euthanization require practice, time, and patience (4,7). This deep form of caring has a potential to be a risk factor for compassion fatigue and burnout if mental, spiritual, and emotional balance is not maintained (1). Compassion fatigue then is the emotional burden that occurs as the result of continued and excessive exposure to traumatic events that patients and families experience (8).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.488
GPT teacher head0.500
Teacher spread0.012 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it