Evaluation of team effectiveness and personal empathy for associations with professional quality of life and job satisfaction in companion animal practice personnel
Bibliographic record
Abstract
OBJECTIVE: To examine variables of veterinary team effectiveness and personal empathy for associations with professional quality of life (ie, compassion satisfaction, burnout, and secondary traumatic stress) and job satisfaction in companion animal practice personnel. DESIGN: Cross-sectional survey. SAMPLE: Data from 232 surveys completed by personnel from 10 companion animal veterinary practices in 2 regions of the United States between April 7 and December 20, 2016. PROCEDURES: Online surveys were used to collect practice-level data (eg, practice type, setting, and staffing) and individual-level data (eg, demographics, job position, and years in the position and profession). Instruments used in developing the surveys included the Team Effectiveness Instrument, Davis Interpersonal Reactivity Index, Professional Quality of Life Scale, and a measure for job satisfaction. Data were evaluated for associations with professional quality of life and job satisfaction. RESULTS: Individual engagement was positively associated with job satisfaction, negatively associated with secondary traumatic stress, and moderated by levels of personal distress for compassion satisfaction and burnout. Toxic team environment was positively associated with burnout and negatively associated with job satisfaction. Empathetic concern and personal distress were both positively associated with secondary traumatic stress. Empathetic concern was moderated by team engagement for compassion satisfaction. CONCLUSIONS AND CLINCAL RELEVANCE: Results indicated that variables influencing professional quality of life and job satisfaction were multimodal and included aspects of team effectiveness and empathy; therefore, workplace strategies that enhance individual and team engagement and mitigate toxic team environments could potentially improve professional quality of life and job satisfaction in veterinary personnel.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".