Kim SungMin, Park Choonghee, Park Sunghyeon, Kim Dai-Jin, Bae Ye-Seul, Kang Jae-Heon, Chun Ji-Won
Department of Medical Informatics, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea.
Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea.
J Med Internet Res. 2025 Feb 5;27:e65492. doi: 10.2196/65492.
New health care services such as smart health care and digital therapeutics have greatly expanded. To effectively use these services, digital health literacy skills, involving the use of digital devices to explore and understand health information, are important. Older adults, requiring consistent health management highlight the need for enhanced digital health literacy skills. To address this issue, it is imperative to develop methods to assess older adults' digital health literacy levels.
This study aimed to develop a tool to measure digital health literacy. To this end, it reviewed existing literature to identify the components of digital health literacy, drafted preliminary items, and developed a scale using a representative sample.
We conducted a primary survey targeting 600 adults aged 55-75 years and performed an exploratory factor analysis on 74 preliminary items. Items with low factor loadings were removed, and their contents were modified to enhance their validity. Then, we conducted a secondary survey with 400 participants to perform exploratory and confirmatory factor analyses.
A digital health literacy scale consisting of 25 items was developed, comprising 4 subfactors: use of digital devices, understanding health information, use and decision regarding health information, and use intention. The model fit indices indicated excellent structural validity (Tucker-Lewis Index=0.924, comparative fit index=0.916, root-mean-square error of approximation=0.088, standardized root-mean-square residual=0.044). High convergent validity (average variance extracted>0.5) and reliability (composite reliability>0.7) were observed within each factor. Discriminant validity was also confirmed as the square root of the average variance extracted was greater than the correlation coefficients between the factors. This scale demonstrates high reliability and excellent structural validity.
This study is a significant first step toward enhancing digital health literacy among older adults by developing an appropriate tool for measuring digital health literacy. We expect this study to contribute to the future provision of tailored education and treatment based on individual literacy levels.
智能医疗和数字疗法等新型医疗服务得到了极大的扩展。为了有效利用这些服务,涉及使用数字设备探索和理解健康信息的数字健康素养技能至关重要。需要持续进行健康管理的老年人凸显了提高数字健康素养技能的必要性。为解决这一问题,必须开发评估老年人数字健康素养水平的方法。
本研究旨在开发一种测量数字健康素养的工具。为此,它回顾了现有文献以确定数字健康素养的组成部分,起草了初步项目,并使用代表性样本开发了一个量表。
我们针对600名55 - 75岁的成年人进行了初步调查,并对74个初步项目进行了探索性因素分析。删除了因子载荷低的项目,并修改了其内容以提高有效性。然后,我们对400名参与者进行了二次调查,以进行探索性和验证性因素分析。
开发了一个由25个项目组成的数字健康素养量表,包括4个子因子:数字设备的使用、健康信息的理解、健康信息的使用和决策以及使用意图。模型拟合指数表明具有出色的结构效度(塔克 - 刘易斯指数 = 0.924,比较拟合指数 = 0.916,近似均方根误差 = 0.088,标准化均方根残差 = 0.044)。在每个因子内观察到高收敛效度(平均方差抽取 > 0.5)和信度(组合信度 > 0.7)。判别效度也得到了证实,因为平均方差抽取的平方根大于各因子之间的相关系数。该量表具有高信度和出色的结构效度。
本研究通过开发一种合适的测量数字健康素养的工具,朝着提高老年人的数字健康素养迈出了重要的第一步。我们期望这项研究有助于未来根据个人素养水平提供量身定制的教育和治疗。