Veterinarian satisfaction with companion animal visits
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
OBJECTIVE: To measure veterinarian satisfaction with companion animal visits through an adaptation of a previously validated physician visit satisfaction scale and to identify demographic, personality, appointment, and communication factors that contribute to veterinarian visit satisfaction. DESIGN: Cross-sectional descriptive study. SAMPLE: Random sample of 50 companion animal practitioners in southern Ontario, Canada, and convenience sample of 300 clients and their pets. PROCEDURES: For each practitioner, 6 clinical appointments were videotaped, and the resulting 300 videotapes were analyzed by use of the Roter interaction analysis system. The physician satisfaction scale, Rosenberg self-esteem scale, and interpersonal reactivity index were used to measure veterinarian visit satisfaction, self-esteem, and empathy, respectively. Linear regression analysis was conducted to study the relationship between factors and veterinarian visit satisfaction. RESULTS: Veterinarian visit satisfaction ranged from 1 to 5 (mean ± SD, 3.97 ± 0.99) and differed significantly between wellness appointments (mean scale score, 4.13) and problem appointments (mean scale score, 3.81). Various elements of client and veterinarian communication as well as personality measures of veterinarian self-esteem and empathy were associated with veterinarian satisfaction. The specific factors differed depending on the nature of the appointment. CONCLUSIONS AND CLINICAL RELEVANCE: Results suggested that veterinarian visit-specific satisfaction is enhanced through the use of communication that builds relationships with clients and is associated with degrees of veterinarian empathetic concern and veterinarian self-esteem. The implications extend to overall job satisfaction and its potential link to the health and well-being of individual veterinarians.
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 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 | 0.003 | 0.001 |
| 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 | 0.001 |
| 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