School of Physical Education, Shenzhen University, Shenzhen, China.
School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
J Med Internet Res. 2024 Jun 3;26:e52457. doi: 10.2196/52457.
In the current digital era, eHealth literacy plays an indispensable role in health care and self-management among older adults with noncommunicable diseases (NCDs). Measuring eHealth literacy appropriately and accurately ensures the successful implementation and evaluation of pertinent research and interventions. However, existing eHealth literacy measures focus mainly on individuals' abilities of accessing and comprehending eHealth information (Web1.0), whereas the capabilities for web-based interaction (Web2.0) and using eHealth information (Web3.0) have not been adequately evaluated.
This study aimed to examine the reliability, validity, and measurement invariance of the eHealth Literacy Scale-Web3.0 (eHLS-Web3.0) among older adults with NCDs.
A total of 642 Chinese older adults with NCDs (mean age 65.78, SD 3.91 years; 55.8% female) were recruited in the baseline assessment, of whom 134 (mean age 65.63, SD 3.99 years; 58.2% female) completed the 1-month follow-up assessment. Baseline measures included the Chinese version of the 24-item 3D eHLS-Web3.0, the Chinese version of the 8-item unidimensional eHealth Literacy Scale (eHEALS), and demographic information. Follow-up measures included the 24-item eHLS-Web3.0 and accelerometer-measured physical activity and sedentary behavior. A series of statistical analyses, for example, Cronbach α, composite reliability coefficient (CR), confirmatory factor analysis (CFA), and multigroup CFA, were performed to examine the internal consistency and test-retest reliabilities, as well as the construct, concurrent, convergent, discriminant, and predictive validities, and the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence.
Cronbach α and CR were within acceptable ranges of 0.89-0.94 and 0.90-0.97, respectively, indicating adequate internal consistency of the eHLS-Web3.0 and its subscales. The eHLS-Web3.0 also demonstrated cross-time stability, with baseline and follow-up measures showing a significant intraclass correlation of 0.81-0.91. The construct validity of the 3D structure model of the eHLS-Web3.0 was supported by confirmatory factor analyses. The eHLS-Web3.0 exhibited convergent validity with an average variance extracted value of 0.58 and a CR value of 0.97. Discriminant validity was supported by CFA results for a proposed 4-factor model integrating the 3 eHLS-Web3.0 subscales and eHEALS. The predictive validity of the eHLS-Web3.0 for health behaviors was supported by significant associations of the eHLS-Web3.0 with light physical activity (β=.36, P=.004), moderate to vigorous physical activity (β=.49, P<.001), and sedentary behavior (β=-.26, P=.002). Finally, the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence was supported by the establishment of configural, metric, strong, and strict invariances.
The present study provides timely empirical evidence on the reliability, validity, and measurement invariance of the eHLS-Web3.0, suggesting that the 24-item 3D eHLS-Web3.0 is an appropriate and valid tool for measuring eHealth literacy among older adults with NCDs within the Web3.0 sphere.
在当前的数字时代,电子健康素养在老年人的慢性病(NCD)护理和自我管理中起着不可或缺的作用。准确地测量电子健康素养,确保相关研究和干预措施的成功实施和评估。然而,现有的电子健康素养测量方法主要侧重于个体获取和理解电子健康信息的能力(Web1.0),而对于基于网络的交互(Web2.0)和使用电子健康信息(Web3.0)的能力则没有得到充分评估。
本研究旨在检验慢性病老年人电子健康素养量表-Web3.0(eHLS-Web3.0)的信度、效度和测量不变性。
共有 642 名患有 NCD 的中国老年人(平均年龄 65.78 岁,SD 3.91 岁;55.8%为女性)参加了基线评估,其中 134 名(平均年龄 65.63 岁,SD 3.99 岁;58.2%为女性)完成了 1 个月的随访评估。基线测量包括中文版的 24 项 3D eHLS-Web3.0、中文版的 8 项单维电子健康素养量表(eHEALS)和人口统计学信息。随访测量包括 24 项 eHLS-Web3.0和加速度计测量的身体活动和久坐行为。进行了一系列统计分析,例如 Cronbach α、综合可靠性系数(CR)、验证性因素分析(CFA)和多组 CFA,以检验 eHLS-Web3.0 的内部一致性和重测信度,以及结构、同时、收敛、区别和预测效度,以及 eHLS-Web3.0在性别、教育水平和居住方面的测量不变性。
eHLS-Web3.0 及其子量表的 Cronbach α 和 CR 分别在 0.89-0.94 和 0.90-0.97 的可接受范围内,表明其内部一致性良好。eHLS-Web3.0 还具有跨时间稳定性,基线和随访测量的组内相关系数为 0.81-0.91。3D 结构模型的构建效度通过验证性因素分析得到支持。eHLS-Web3.0 与平均方差提取值为 0.58 和 CR 值为 0.97 的 eHEALS 具有收敛效度。通过整合 3 个 eHLS-Web3.0 子量表和 eHEALS 的 4 因子模型的 CFA 结果,支持了区别效度。eHLS-Web3.0 对健康行为的预测效度通过 eHLS-Web3.0 与轻度体力活动(β=.36,P=.004)、中度至剧烈体力活动(β=.49,P<.001)和久坐行为(β=-.26,P=.002)之间的显著关联得到支持。最后,通过建立组态、度量、强和严格不变性,支持了 eHLS-Web3.0 的测量不变性。
本研究为慢性病老年人 eHLS-Web3.0 的可靠性、有效性和测量不变性提供了及时的实证证据,表明 24 项 3D eHLS-Web3.0 是测量 Web3.0 范围内慢性病老年人电子健康素养的一种合适和有效的工具。