Nonverbal communication between veterinarian and farmer during routine consultations on UK dairy farms
Publication Date
July 31, 2022
Creator
Abstract
Research objective: To explore whether nonverbal communication between veterinarians and farmers can be measured through analysis of video recordings of routine consultations on farm.
Background: Communication, an essential component of effective veterinary practice, comprises verbal, paraverbal and nonverbal elements. Research exploring nonverbal communication in veterinary practice is currently in its infancy. An evidence-based understanding of nonverbal communication and its effect on veterinary-client interactions could support veterinarians in cultivating better, more effective client consultations. This novel study considers which aspects of nonverbal communication can be measured within the farm veterinary context using action camera recordings.
Methods: Veterinarian and farmer interactions during routine consultations (n=11) were recorded using an action camera strapped to the chest of an observer. Data were analysed to establish the potential to measure elements of nonverbal communication.
Results: Various aspects of nonverbal communication were able to be measured, including nonverbal behaviours such as interpersonal distance, head, body and limb position, and use of gestures. Use of an ultrasound scanner during the fertility examination process appeared to influence certain nonverbal behaviours displayed by both parties.
Practical implications: These data offer the first insights into measuring nonverbal communication within farm consultations, providing a foundation for future research into how nonverbal communication impacts aspects of farmer-veterinarian relationships. Raising awareness of nonverbal communication in the context of farm animal consultations could increase confidence and improve communication skills.
Item Type
ethesis
Thesis Type
MRes
Subjects (LC)
Associated Schools / Departments
School of Veterinary Medicine and Science
eprints ID
67432
UoN Repository URI
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MRes thesis revised Jan2022.pdf
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Full-text
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Examined
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639.71 KB
Format
Adobe PDF
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