Year: 2026
Type: article
Study design: Observational Study
Abstract: Musculoskeletal disorders significantly impact the quality of life for the worldwide aging population. Rehabilitation is imperative to help individuals affected to improve their condition. Access to traditional facility-based rehabilitation is often a barrier due to issues like travel distance, time, or even the lack of services. A visual-based home rehabilitation system could prove to be a promising solution to this quandary. Though implementation of said system will depend on the individual's willingness to adopt it. This study aims to identify determinants influencing the adoption of a visual-based home rehabilitation system by proposing a framework with constructs derived from COM-B, Technology Acceptance Model, Health Action Process Approach, and Fear-avoidance Beliefs Questionnaire. Behavioural determinants examined include self-efficacy, knowledge, memory, self-monitoring, physical ability, perceived usefulness, perceived ease of use, belief, social support, barriers, and resources. A quantitative cross-sectional survey was conducted using a 59-question questionnaire given to patients (n = 250) at Melaka General Hospital. Pearson correlation and multiple regression analysis were used to examine the relationships between proposed determinants and the adoption possibility. Based on the results knowledge (p = 0.164), and physical ability (p = 0.797) was found to be not significant. All others were found to be significant predictors of adoption with opportunity (B = 0.164, p = 0.010) as the strongest. The framework proposed demonstrates modest explanatory power (R^2 ranging from 0.061 to 0.214). This study hopes to contribute to the understanding of the adoption of technology-based healthcare specifically a visual-based home rehabilitation system by providing a validated framework to guide the design.
Institution: Multimedia University
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7202371393