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Clinician perspectives on virtual reality use in physical therapy practice in the United States

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  • Danielle T Felsberg
  • Jared T McGuirt
  • Scott E Ross
  • Louisa D Raisbeck
  • Charlend K Howard
  • Christopher K Rhea

Abstract

The primary goal of physical rehabilitation is to assess movement impairments and restore function to improve overall quality of life. Virtual reality (VR) may provide the optimal environment to promote these goals due to its motivating and modifiable nature which can be difficult to accomplish through traditional real-world therapeutic methods. Current research of VR for rehabilitation has demonstrated that VR interventions can produce clinically meaningful change in motor outcomes. Despite this, adoption and usage of VR by physical therapy professionals is unclear due to the limited research in this area. Thus, the purpose of this study was to identify the current usage and perspectives of VR in physical rehabilitation among physical therapy professionals. Physical Therapists (PTs) and Physical Therapist Assistants (PTAs) in the United States were recruited to participate in this survey-based study. A total of N = 658 participants completed the survey, which consisted of demographic information followed by the Assessing Determinants Of Prospective Take-up of Virtual Reality (ADOPT-VR2) survey that assesses 12 constructs (e.g., Attitudes, Perceived Usefulness, Facilitating Conditions and Barriers) related to the use of VR in clinical settings. Most respondents reported not using VR in clinical practice (n = 611; 92.9%). For all respondents, the constructs of Attitudes, Perceived Ease of Use, Compatibility, Client Influence, and Self-Efficacy were found to statistically contribute to the prediction of Behavioral Intention to use VR (p

Suggested Citation

  • Danielle T Felsberg & Jared T McGuirt & Scott E Ross & Louisa D Raisbeck & Charlend K Howard & Christopher K Rhea, 2025. "Clinician perspectives on virtual reality use in physical therapy practice in the United States," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-13, April.
  • Handle: RePEc:plo:pone00:0320215
    DOI: 10.1371/journal.pone.0320215
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    1. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
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