JMIR Publications

ABSTRACT

Background:

Digital technologies for rehabilitation (DT4R) such as robotics and treadmill systems (RobTS), virtual-reality and active video-gaming (VR-AVG), and telehealth and apps (T&Apps) are promising tools for pediatric motor rehabilitation. Identifying acceptance factors is essential for effective clinical adoption.

Objective:

This study aimed to analyze the use of three different technologies for rehabilitation; RobTS, VR-AVG and T&Apps through a causal model based on the Unified Theory of Acceptance and Use of Technology (UTAUT).

Methods:

This study was part of RehaTech4child, a cross-sectional survey (2022), supported by the European Academy of Childhood-onset Disability, aimed at professionals working in pediatric motor rehabilitation across Europe. It assessed DT4R use and intention to use, and UTAUT concepts (performance expectancy, effort expectancy, social influence, access and barriers). Structural equation modeling was performed to analyze the data and understand relationships between observed and latent variables.

Results:

1397 responses were received and 635 fulfilled the eligibility criteria. The fitness indices suggested a satisfactory fit between the data and the model. The model explained 67% of the variance in the use of RobTS, 62% in VR-AVG and 57% in T&Apps. Among all studied determinants, access had the strongest impact on use for all three categories of DT4R (RobTS β=0.78, VR-AVG β=0.73 and T&Apps β=0.70; P <.01). Intention to use significantly impacted use behavior for all technologies; it was the second determinant after access for VR-AVG (β=0.18) and T&Apps (β=0.21), with a lower weight for RobTS (β=0.06), P <.001. In the sub-group analysis of respondents reporting easy access, intention to use was the strongest determinant of use. The model explained 61% of the variance of intention to use for RobTS, 67% for VR-AVG, and 68% for T&Apps. Performance expectancy had the strongest effect on intention to use for the three technologies (RobTS β=.81, VR-AVG β=.84 and T&Apps β=.90, P <0.001). For this concept, the items with the highest weights significantly related to the effectiveness of DT4R on rehabilitation. Social influence and effort expectancy had a slight impact on intention to use.

Conclusions:

These results underscore the need to ensure easy access as a prerequisite for assessing relevant determinants of acceptance. Developing the evidence base for DT4R effectiveness and ensuring availability of existing evidence may facilitate DT4R implementation. In our study, within the framework of UTAUT model, no acceptance barrier was linked to the use of DT4R with children. Regarding families, their views may be usefully gathered for the implementation of RobTS. T&Apps may be assets to involve them in their child’s rehabilitation. Clinical Trial: The study was registered on ClinicalTrials.gov NCT05176522; https://clinicaltrials.gov/search?cond=NCT05176522