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.

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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

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article

Factors influencing the intention to use smart wristbands among patients with COPD: an extended UTAUT model

Chunhua Chi, Mi Yao, Jingyi Ye, Jianhua Chen et al.
Scientific Reports
Mobile Health and mHealth Applications
article

Factors influencing the intention to use smart wristbands among patients with COPD: an extended UTAUT model

Chunhua Chi, Mi Yao, Jingyi Ye, Jianhua Chen, Guanning Jing, Yujing Su, Hongjing Pei, Jiapei Xu, Wenping Li
article en

Abstract

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.

Scientific Reports
Peking University (CN), Beijing Institute of Big Data Research (CN), Peking University First Hospital (CN)
National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 9%
Mobile Health and mHealth Applications
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