Login / Signup

A technology acceptance model to predict anesthesiologists' clinical adoption of virtual reality.

Ellen Y WangKristin M KennedyLijin ZhangMichelle Zuniga-HernandezJanet TitzlerBrian S-K LiFaaizah ArshadMichael KhouryThomas J Caruso
Published in: Journal of clinical anesthesia (2024)
All confirmatory factor analysis testing for construct validity had good fit. Perceptions of usefulness and enjoyment predicted an anesthesiologist's attitude toward using and intention to purchase, while perceived ease of use predicted perceived usefulness and enjoyment, attitude toward purchasing and using, and intention to use. Past use and price willing to pay did not influence perceptions of usefulness. Lower age predicted greater perceived ease of use. All scales in the model demonstrated acceptable reliability. With good validity and reliability, the VR-TAM model demonstrated factors predictive of anesthesiologist's intentions to integrate VR into clinical settings.
Keyphrases
  • virtual reality
  • social support
  • depressive symptoms
  • physical activity
  • mental health
  • healthcare
  • primary care
  • health insurance
  • data analysis