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Reveal the dynamics of mobile health services continuance intention

Effects of expectation, confirmation, and chronic disease

Datos Bibliográficos

ID22068366
AutoresXiumei Ma (0000-0003-2804-0832, Sichuan University), Yanxia Li (0000-0002-9327-6596, Yanshan University, autor de correspondencia), Ao Suo (Pingliang People's Hospital)
Año2025
Volumen13
Páginas1637264-1637264
Fecha de publicación2025-09-23
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1637264
PMID41063939
OpenAlexW4414443262
IdiomaEN
Referencias citadas59

Introduction: 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. Methods: 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. Results: 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. Discussion: 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

Chronic disease · Continuance · Digital health · eHealth · Health services · mHealth · Telemedicine · Mobile Health and mHealth Applications · Technology Adoption and User Behaviour · Technology Use by Older Adults

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