Pet owners prefer face-to-face consultations, with many being open to considering virtual consultations with veterinarians
Bibliographic record
Abstract
OBJECTIVE: To explore pet owners' use of information and communication technologies (ICTs) during virtual veterinarian-client-patient consultations and to examine pet owners' attitudes toward virtual consultations. SAMPLE: 714 pet owners. METHODS: In an anonymous online survey distributed using snowball sampling, all participants were asked about utilization of ICTs, preferred method of interaction (face-to-face and 5 ICTs), opinion on virtual communication, and demographics. Sentiment toward virtual veterinarian consultations was measured for participants who had experienced a "virtual only" or "combination virtual and face-to-face" consultation in the previous 6 months using the Net Promoter Score. For these participants, multivariable logistic regression was used to explore factors associated with recommending virtual consultations. RESULTS: 92% (583/632) of participants resided in Ontario, Canada. Most (85.6% [611/714]) participants had experience using the telephone for veterinary care, while only 5.2% (37/714) had used live videoconferencing. Participants ranked face-to-face interactions as most preferred (P < .001), followed by telephone and then live videoconferencing. Participants were significantly (P < .001) less confident communicating during virtual consultations, particularly for building rapport. For participants experiencing a virtual consultation in the previous 6 months (n = 348), the overall Net Promoter Score was neutral at -1.43. Participants were divided about recommending virtual consultations, with 33.3% (116/348) being promoters and 34.8% (121/348) being detractors. Age of participant and comfort using videoconferencing were positively associated (P < .05) with recommending virtual consultations. CLINICAL RELEVANCE: Although participating pet owners significantly preferred face-to-face consultations with veterinarians, many appear willing to consider virtual consultations. Further exploration of pet owners' preferences and concerns around virtual care, including communication, is needed.
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.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".