Division of Communication & Media, Ewha Womans University, Seoul 03760, Korea.
Department of Law, Konkuk University, Chungju 05029, Korea.
Int J Environ Res Public Health. 2022 Aug 3;19(15):9556. doi: 10.3390/ijerph19159556.
The aim of this study lies in articulating the relationship between digital literacy and private concern as a predictor of intention to use digital therapeutics.
An online survey was conducted through a research company among 600 panels. The survey questionnaire consists of items of digital literacy, privacy concern, perceptions, and intention to use digital therapeutics, and the participants were asked to fill out the questions online. A structural equation model was established, and the difference in paths between the MZ generation and the baby boomers were examined.
Public perception of digital therapeutics was categorized into seven factors and the dimension of digital literacy as categorized into three factors. For the MZ generation, digital literacy and privacy concern both directly and indirectly affect the digital therapeutics use intention, in that higher the level of digital literacy and the lower the privacy concern, digital therapeutics perception and digital therapeutics use intention becomes intensified. For the baby boomers, digital literacy and privacy concern positively affect digital therapeutics perception, and as digital therapeutics perception becomes more positive, digital therapeutics use intention also increases. Direct effects of digital literacy and privacy concern to digital therapeutics use intention were not found for the baby boomers.
In order to promote the use of digital therapeutics, it is common for the MZ generation and baby boomers to develop a positive perception toward digital therapeutics by cultivating digital literacy. For the MZ generation, privacy concerns need to be cautiously considered as they negatively affect the intention to use digital therapeutics.
本研究旨在阐明数字素养与隐私关注作为数字治疗意愿预测因子之间的关系。
通过研究公司，在 600 个小组中进行了在线调查。调查问卷包含数字素养、隐私关注、感知和使用数字治疗的意愿等项目，参与者被要求在线填写问题。建立了结构方程模型，并检验了 MZ 一代和婴儿潮一代之间路径的差异。
公众对数字治疗的看法分为七个因素，数字素养维度分为三个因素。对于 MZ 一代，数字素养和隐私关注都直接和间接地影响数字治疗的使用意愿，即数字素养水平越高，隐私关注越低，对数字治疗的感知和数字治疗的使用意愿就越强烈。对于婴儿潮一代，数字素养和隐私关注会正向影响数字治疗的感知，而数字治疗的感知越积极，数字治疗的使用意愿也会增加。对于婴儿潮一代，没有发现数字素养和隐私关注对数字治疗使用意愿的直接影响。
为了促进数字治疗的使用，对于 MZ 一代和婴儿潮一代来说，通过培养数字素养来对数字治疗产生积极的看法是常见的。对于 MZ 一代来说，需要谨慎考虑隐私问题，因为它们会对使用数字治疗的意愿产生负面影响。
