Factors influencing the intention to use smart wristbands among patients with COPD: an extended UTAUT model
Chronic Obstructive Pulmonary Disease (COPD) imposes a substantial global health burden. Despite the considerable potential of wearable devices for early detection and disease management, suboptimal engagement limits their clinical utility. This study aims to identify factors associated with the intention to use smart wristbands among patients with COPD. The study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) by incorporating health risk perception and interface presentation. A sequential mixed-methods design was employed, commencing with semi-structured interviews ( n = 28), followed by a questionnaire survey ( n = 233). Structural equation modeling was used to validate the measurement model and examine the hypothesized relationships. All six constructs demonstrated statistically significant positive associations with intention to use ( P < 0.05). Health risk perception (β = 0.272, P < 0.001) and social influence (β = 0.271, P < 0.001) were the primary correlates of intention to use. This study extends UTAUT by identifying factors correlated with COPD patients’ intention to use smart wristbands. The findings offer practical insights for user-oriented device design and intervention strategies, thereby supporting the promotion of digital health monitoring among COPD patients.
Authors
- Chunhua Chi (ORCID: https://orcid.org/0000-0003-3566-5582)
- Mi Yao (ORCID: https://orcid.org/0009-0003-0604-600X)
- Jingyi Ye (ORCID: https://orcid.org/0009-0002-7021-025X)
- Jianhua Chen
- Guanning Jing
- Yujing Su
- Hongjing Pei
- Jiapei Xu
- Wenping Li
Institutions
- Peking University (CN)
- Beijing Institute of Big Data Research (CN)
- Peking University First Hospital (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-10-14
- DOI
- https://doi.org/10.1038/s41598-026-73935-4
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China