Are They Thinking Differently? The Perceptions and Differences in Medical Disputes between Veterinarians and Clients.

Medical disputes in veterinary practices are widespread; yet, a limited amount of research has been conducted to investigate the factors contributing to medical disputes. This study examined veterinarians' and clients' perceptions regarding risk factors and possible solutions to medical disputes. A total of 245 respondents from Taiwan, including 125 veterinarians and 120 clients, completed an electronic self-administered, semi-structured questionnaire in 2022. The questionnaire covered six dimensions: medical skills, complaint management, the attitudes of stakeholders during interactions, medical expenses, clients' perspectives, and communication modes. The results highlighted significant differences in the perceptions of risk factors for inducing medical disputes and possible solutions between clients and veterinarians in veterinary practice. First, young veterinarians and clients perceived medical skills as the highest risk factor for inducing medical disputes, while experienced veterinarians disagreed (p < 0.001). In addition, veterinarians with medical dispute experience identified stakeholders' attitudes during interactions as the top contributing factor. Second, regarding possible solutions, all veterinarians preferred offering clients cost estimates and cultivating empathy and compassion towards them. On the other hand, clients underscored the importance of obtaining informed consent for treatments and expenses and suggested that veterinarians should supply comprehensive written information to facilitate this process. This study underlies the importance of understanding stakeholders' perceptions to mitigate medical disputes and advocates for improved communication education and training for young veterinarians. These findings provide valuable insights for veterinarians and clients, contributing to preventing and managing medical disputes in veterinary practices.

Perceptions of Veterinarians and Veterinary Students on What Risk Factors Constitute Medical Disputes and Comparisons between 2014 and 2022.

This study compared the risk perceptions of medical disputes among veterinarians and veterinary students in Taiwan between 2014 and 2022. Online validity-tested questionnaires were used to collect data, with 106 (73 veterinarians and 33 students) and 157 (126 veterinarians and 31 students) surveys collected in 2014 and 2022, respectively. Respondents would be asked to rate their perceptions on how likely each risk factor constitutes a medical dispute according to their past experiences on a five-point Likert scale from 1 to 5: "Very unlikely, unlikely, neutral, likely, very likely." The results showed that overall risk perceptions increased significantly in 2022 compared to 2014, with the top risk factors being attitudes during interactions and complaint management among experienced veterinarians. In contrast, students considered medical skills and clients' perspectives as the top two risk factors, with complaints management ranking as the least significant factor. The findings suggest that effective communication and complaint management are crucial in preventing medical disputes, highlighting the importance of developing these skills in young veterinarians and veterinary students to reduce medical disputes. The study also recommends increasing practical experiences of medical disputes and complaint management in veterinary education to bridge the gap between the perceptions of experienced veterinarians and students.

Bibliometric Analysis of Veterinary Communication Education Research over the Last Two Decades: Rare Yet Essential.

Research of veterinary communication education is a relatively rare but important field, and its importance has been increasingly noticed recently. This study aims to describe the existing veterinary education research literature by adopting the systematic bibliometric approach. We conducted a comprehensive literature exploration on worldwide veterinary education and veterinary communication education publications in the Web of Science Core Collection database from 1 January 2000 to 31 December 2021. VOSviewer and EXCEL were used to identify trends and patterns in characteristics of the publications, including author affiliations and countries, and the publishing journals. Based on our search criteria, in the past 22 years, there have been 6006 veterinary education publications with 101 publications in 2000, 684 publications in 2021 (577% increase), and 677 communication-related publications with 9 publications in 2000, 107 publications in 2021 (1189% increase). The VOSviewer results indicate that both the United States and England were the most vigorous countries with close collaboration. Our results show the publication quantity has been increasing at a sharp slope rate over the past twenty years, which indicates the importance and growth of veterinary education and the veterinary communication education research field, and identifies the international collaborations among countries and institutions.

Using hemoglobin A1C as a predicting model for time interval from pre-diabetes progressing to diabetes.

OBJECTIVE: The early identification of subjects at high risk for diabetes is essential, thus, random rather than fasting plasma glucose is more useful. We aim to evaluate the time interval between pre-diabetes to diabetes with anti-diabetic drugs by using HbA1C as a diagnostic tool, and predicting it using a mathematic model. METHODS: We used the Taipei Medical University Affiliated Hospital Patient Profile Database (AHPPD) from January-2007 to June-2011. The patients who progressed and were prescribed anti-diabetic drugs were selected from AHPPD. The mathematical model used to predict the time interval of HbA1C value ranged from 5.7% to 6.5% for diabetes progression. RESULTS: We predicted an average overall time interval for all participants in between 5.7% to 6.5% during a total of 907 days (standard error, 103 days). For each group found among 5.7% to 6.5% we determined 1169.3 days for the low risk group (i.e. 3.2 years), 1080.5 days (i.e. 2.96 years) for the increased risk group and 729.4 days (i.e. 1.99 years) for the diabetes group. This indicates the patients will take an average of 2.49 years to reach 6.5%. CONCLUSION: This prediction model is very useful to help prioritize the diagnosis at an early stage for targeting individuals with risk of diabetes. Using patients' HbA1C before anti-diabetes drugs are used we predicted the time interval from pre-diabetes progression to diabetes is 2.49 years without any influence of age and gender. Additional studies are needed to support this model for a long term prediction.