Gender differences in veterinarian-client-patient communication in companion animal practice
Bibliographic record
Abstract
OBJECTIVE: To describe the relationship between veterinarian and client genders and veterinarian-client-patient communication. DESIGN: Cross-sectional descriptive study. SAMPLE: Random sample of 50 companion animal practitioners in southern Ontario and a convenience sample of 300 clients and their pets. PROCEDURES: For each practitioner, 6 clinical appointments were videotaped, and the resulting 300 videotapes were analyzed with the Roter interaction analysis system (RIAS). Linear regression was conducted to study the relationship between demographic factors, measures of veterinarian-client-patient communication, and gender of the veterinarian and client. RESULTS: Female veterinarians conducted more relationship-centered appointments, provided more positive and rapport-building statements, talked more to the patient, and were perceived as less hurried or rushed, compared with male veterinarians. Clients were more likely to provide lifestyle-social information to female veterinarians. Same-gender veterinarian-client interactions were relationship centered and included client provision of more lifestyle-social information. CONCLUSIONS AND CLINICAL RELEVANCE: Gender influenced veterinarian-client-patient communication, and previously described physician gender differences in medical communication were largely replicated in the veterinary context.
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How this classification was reachedexpand
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".