Abstract
The world’s population is currently aging significantly, and older adults have a significant need for health information while having a low level of eHealth literacy. With the implementation of the health China strategy, the construction of the health science popularization platform has been put on the agenda. However, it is unknown how digital technology will affect senior users. We looked into the particular impacts that the kinds of digital empowerment that the health science popularization platform has made available to older adults have on them. In this study, we also developed, from the perspective of digital empowerment, the mechanism model of the health science popularization platform on the eHealth literacy of older adults. This study employed a questionnaire survey approach to gathering data, primarily using an online platform to ask older persons with prior experience using a platform for the popularization of health science to fill out. 248 participants aged over 50 took part in the study and finished the survey up to standard. The SmartPLS4.0 program was used to analyze the data using the PLS-SEM approach. According to the findings, the health science popularization platform significantly affects older adults’ capacity to look for and use health information, and as a result, older adults’ self-efficacy and ease of use support their eHealth literacy. By enhancing information push, simplifying function operation, and other measures during the future development of the health science popularization platform, we may assist older adults in adjusting to digital technology and thereby advance eHealth literacy, finally help bridge the digital divide.
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This study was supported by the National Social Science Foundation of China (22&ZD327).
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Wang, Y., Xu, X., Zhu, Q. (2023). Effects of Health Science Popularization Platform on Older Adults’ eHealth Literacy: From the Perspective of Digital Empowerment. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. HCII 2023. Lecture Notes in Computer Science, vol 14043. Springer, Cham. https://doi.org/10.1007/978-3-031-34917-1_17
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