ORIGINAL RESEARCH article
Front. Public Health
Sec. Public Health Education and Promotion
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1637264
This article is part of the Research TopicDigital Information for Patient Education, Volume IIView all 11 articles
Reveal the dynamics of mobile health services continuance intention: effects of expectation, confirmation, and chronic disease
Provisionally accepted
- 1Sichuan University School of Public Administration, Chengdu, China
- 2Yanshan University School of Economics and Management, Qinhuangdao, China
- 3Gansu Medical College, Pingliang, China
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The sustainable development of mobile health (mHealth) services relies on the continuous use by users. Most studies consider users' intention to continue using mHealth services as a static measure rather than one that changes dynamically over time, often neglecting the impact of individual differences, such as the presence of chronic disease, on usage patterns. Drawing on the expectation-confirmation model, this study investigates the dynamic nature of the intention to continue using mHealth services, with a particular focus on the role of chronic disease. Conducting a longitudinal study with three rounds of online survey, we analyzed data collected from 236 completed respondents using a latent growth model. The results indicate that users' intention to continue using mHealth services is not static and tends to decrease over time. Expectation accelerates the descent, while confirmation mitigates it. Furthermore, expectation shows a stronger impact on users without chronic disease compared to those with chronic conditions. This study advances the understanding of the continuous use of mHealth services by incorporating time-based dynamics and the influence of chronic disease. This study also extends the traditional expectation-confirmation model into a dynamic framework.
Keywords: mHealth services, Continuous use, latent growth model, expectation-confirmation model, Chronic Disease
Received: 29 May 2025; Accepted: 10 Sep 2025.
Copyright: © 2025 Ma, Li and Suo. 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: Yanxia Li, Yanshan University School of Economics and Management, Qinhuangdao, China
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