Why Older Adults Resist Mobile Health Information Services: A Conceptual Model Based on the Technology–Personal–Environment Framework

Background/Objectives: As a key health information and communication technology, mobile health information services (MHISs) play a critical role in delivering health information, enabling remote monitoring, and supporting patient well-being. However, widespread resistance among older adults hinders their access to these information services and undermines these benefits. Employing the technology–personal–environment (TPE) framework, this study constructed and verified a comprehensive model to explain older adults’ resistance to MHIS use. Methods: Quantitative data from 430 elderly individuals aged 65 and above from China who participated in the free health check-up basic public health program were analyzed using structural equation modeling. Results: Technology access barriers, technology usage barriers, declining physiological conditions, and resistance to change were positively related to technology anxiety. Declining physiological conditions, resistance to change, social legitimacy power, and perceived institutional effort were negatively related to perceived autonomy. Additionally, technology anxiety was positively related to resistance to MHIS use, while perceived autonomy was negatively related to resistance to MHIS use. Conclusions: The findings clarify the mechanisms linking technological barriers, individual characteristics, and environmental factors to older adults’ resistance to MHIS use. Therefore, relevant health information service providers should adopt systematic actions that simultaneously alleviate technology anxiety through user-centric design and supportive training while fostering perceived autonomy by respecting older adults’ choices and enabling meaningful participation. These findings offer actionable insights for healthcare information system designers and providers to reduce older adults’ exclusion from digital health information ecosystems, thereby enhancing patient well-being among aging populations.