ORIGINAL RESEARCH article
Front. Public Health
Sec. Digital Public Health
This article is part of the Research TopicDigital Health Innovations for Patient-Centered CareView all 43 articles
Bridging UTAUT and HBM: Determinants of Wearable Device Adoption among Chronic Disease Patients
Provisionally accepted
- 1Taiyuan University of Technology, Taiyuan, China
- 2National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
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Objectives: Chronic diseases have emerged as a significant global health threat, making the effective management of these conditions crucial for improving patients' quality of life. Wearable devices, a significant innovation in digital healthcare, offer new solutions for managing the health of patients with chronic diseases. This study integrates the UTAUT model with the Health Belief Model (HBM) to analyze key factors influencing the adoption of wearable devices by patients with chronic diseases, aiming to provide a more comprehensive understanding of their behavioral patterns and motivations. Methodology: A cross-sectional survey was conducted among Chinese patients with chronic diseases, yielding 452 valid responses. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to construct the analytical model and examine the effects of latent variables on patients' behavioral intention and actual use of wearable devices. Findings: The findings reveal that performance expectancy, effort expectancy, social influence, and facilitating conditions have a significant, positive influence on behavioral intention, which, in turn, positively affects actual use behavior. Performance expectancy mediates the relationships between social influence, perceived susceptibility, and perceived severity on behavioral intention. However, physical activity does not moderate the relationship between Performance Expectancy and Behavioral Intention. Conclusions: performance expectancy, effort expectancy, social influence, and facilitating conditions are identified as key determinants of patients with chronic diseases' adoption intention. Additionally, patients' perceived severity and perceived susceptibility indirectly influence their usage intention through performance expectancy. Implications: These findings provide a theoretical foundation and practical guidance for optimizing the use of wearable devices in the management of chronic diseases. The study suggests that product development should focus on enhancing device performance, simplifying operational procedures, and strengthening social support systems.
Keywords: Chronic disease patients, Perceived severity, PerceivedSusceptibility, Performance expectancy, physical activity, wearable devices
Received: 18 Aug 2025; Accepted: 01 Dec 2025.
Copyright: © 2025 Guo and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shih-Chih Chen
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