Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong Special Administrative Region.
Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong Special Administrative Region; Faculty of Business, City University of Macau, Macau.
Int J Med Inform. 2023 Jun;174:105042. doi: 10.1016/j.ijmedinf.2023.105042. Epub 2023 Mar 18.
With the rapid development of the metaverse and the problem of non-attendance in traditional rehabilitation, virtual reality in telerehabilitation has become increasingly vital in modern medicine. However, research on determining predictors that influence the public's behavioral intention to adopt VR-based telerehabilitation has not been extensively studied.
This study aims to propose a new research model with a comparative analysis on understanding factors affecting the public's behavioral intention to adopt VR in telerehabilitation for different user groups.
A total of 215 respondents from the general public completed an online questionnaire to validate the proposed research model. The collected data was analyzed using SPSS and AMOS. The proposed model was additionally validated using CFA and multiple linear regression.
This study found that effort expectancy, threat appraisals, and trust had a positive significant influence on the public's behavioral intention to adopt VR in telerehabilitation. However, performance expectancy and facilitating conditions had no significant relationship with behavioral intention. Notably, the average of the primary factors for older adults was generally higher than for younger adults.
The present study confirms the applicability of the proposed research model. Our findings contribute up-to-date insights for related stakeholders to minimize implementation failures and develop successful adoption strategies for the future expansion of telerehabilitation.
随着元宇宙的快速发展和传统康复中的非到场问题，虚拟现实远程康复在现代医学中变得越来越重要。然而，对于确定影响公众采用基于虚拟现实的远程康复的行为意向的预测因素的研究尚未得到广泛研究。
本研究旨在提出一个新的研究模型，并进行比较分析，以了解不同用户群体对远程康复中采用 VR 的公众行为意向的影响因素。
共有 215 名来自普通公众的受访者完成了在线问卷，以验证所提出的研究模型。使用 SPSS 和 AMOS 对收集的数据进行了分析。还使用 CFA 和多元线性回归对所提出的模型进行了验证。
本研究发现，努力期望、威胁评估和信任对公众采用远程康复中的 VR 的行为意向有积极的显著影响。然而，绩效期望和便利条件与行为意向没有显著关系。值得注意的是，老年人的主要因素平均值普遍高于年轻人。
本研究证实了所提出的研究模型的适用性。我们的研究结果为相关利益相关者提供了最新的见解，以最小化实施失败，并为远程康复的未来扩展制定成功的采用策略。
