Perceptions and opinions of pet caregivers in mainland and Hong Kong China about surgery, pain management, and anesthesia in dogs and cats
Bibliographic record
Abstract
Small animal caregivers' perceptions and previous life experiences play a pivotal role in patient care, making effective communication fundamental within the veterinary business. Despite the large and growing scale of the pet industry, data on small animal client-centered information about veterinary services in Mainland China (MC) and the Hong Kong Special Administrative Region (HKSAR) China are lacking. The objective of this study was to investigate the perceptions and opinions of small animal caregivers about surgery, pain management, and anesthesia in dogs and cats in these geographical regions through a validated online survey using content validity index. A total of 2080 valid answers were collected by convenience sampling over 45 days. Descriptive statistics were used to summarize data; the chi-square test and generalized linear models were used to test the associations between demographics and responses. Overall, caregivers appeared favorable toward the use of analgesia in their pets, with concerns over the potential adverse effects produced by analgesic drugs. Joint pain and ear infections were generally rated as conditions that would be less prone to require analgesia. Significant associations were observed for demographic factors such as gender, age, and geographical area, whether participants were healthcare providers, and whether their pets had undergone surgery before. Although many respondents expressed uncertainty in recognizing pain in their pets and administering analgesics, they also expressed a desire to learn and to be informed. This study highlights areas and factors that may determine the perceptions and opinions of small animal caregivers that form a unique human-animal bond in China. Client communication should be addressed on a case-by-case basis and adapted to the geographical area, as the individual background and demographics may have an ultimate impact on treatment goals and patient care.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".