Application of the multi-theory model to explain veterinarians' intentions to use telehealth/telemedicine

Vet Rec. 2023 Feb;192(4):e2385. doi: 10.1002/vetr.2385. Epub 2022 Nov 7.

Abstract

Background: Telehealth adoption is being fueled by both technological breakthroughs and societal demands; however, veterinarians have yet to fully embrace the concept of telemedicine, limiting its use and potential benefits. The goal of this study was to evaluate how effective the multi-theory model (MTM) of health behaviour change explains the initiation and sustenance of telehealth use among veterinarians.

Methods: For this cross-sectional study, a research company was contracted to disseminate the MTM-based online survey to veterinarians currently engaged in clinical practice within the United States.

Results: A total of 243 veterinarians participated in this study. The most frequently reported age group among participants was 31-40 years (33.7%, n = 82). It was also noted that the majority of participants were female (70.0%, n = 170) and white (76.5%, n = 186). Hierarchical multiple regression showed that participatory dialogue (p = 0.037), species (p = 0.013) and previous monthly telehealth use (p = 0.040) were significant explanatory variables of initiation of telehealth use. Moreover, emotional transformation (p < 0.001) and previous monthly telehealth use (p = 0.035) were significant explanatory variables of sustenance of telehealth use.

Limitations: The data were collected in July 2020, during a global pandemic, in which telehealth use surged across a variety of professions. As a result, the findings of the study may not be relevant in periods when there is no pandemic.

Conclusions: Based on the findings of this study, researchers, educators and veterinary professionals should consider using MTM as theoretical framework to develop interventions to enhance telehealth use.

Keywords: behaviour change; multi-theory model; telehealth; telemedicine; veterinary.

MeSH terms

  • Animals
  • Cross-Sectional Studies
  • Female
  • Health Behavior
  • Humans
  • Intention
  • Male
  • Pandemics
  • Telemedicine* / statistics & numerical data
  • United States
  • Veterinarians* / statistics & numerical data
  • Veterinary Medicine* / methods
  • Veterinary Medicine* / statistics & numerical data
  • Veterinary Medicine* / trends