College of Social Work, University of Kentucky, Lexington, Kentucky.
Center of Excellence in Rural Health, Family and Community Medicine, University of Kentucky, Hazard, Kentucky.
J Rural Health. 2021 Jun;37(3):504-516. doi: 10.1111/jrh.12509. Epub 2020 Sep 3.
Given that the recent eHealth literacy literature supports the properties of the 3-factor eHealth literacy scale (eHEALS) model in samples with millennials, adults, and older adults, the appropriate next step is to establish whether the model can be reproduced in a rural adolescent sample. The purpose of this study was to evaluate the recent 3-factor model by Paige and associates with a sample of seventh-grade students.
This cross-sectional study included a subsample of students (n = 146) from 3 school districts in Appalachian Kentucky. We used confirmatory factor analysis (CFA) procedures and small sample model fit guidelines to evaluate our model, and the 1-sample bootstrap algorithm with bias-corrected and accelerated 95% confidence intervals to estimate associations among eHEALS and health and technology variables.
A total of 137 students, or 61% of enrolled seventh-grade students, completed the study. CFA results showed eHEALS 3-factor loadings-information awareness, information seeking, and information engagement-were high (≥0.63) and statistically significant. We observed evidence of a good model fit (root mean square error of approximation [RMSEA] = 0.07, standardized root mean square residual [SRMR] = 0.03, comparative fit index [CFI] = 0.99) and results are comparable with Paige and associates' model fit (RMSEA = 0.06, SRMR = 0.08, CFI = 0.98). Correlations showed that students with more access to technology were associated with higher information seeking (r = 0.31) and higher information engagement (r = 0.23). eHealth literacy scores did not differ by level of rurality or gender.
The 3-factor eHEALS is a reliable and valid instrument in assessing eHealth literacy in a group of rural seventh graders from Appalachian Kentucky.
鉴于最近的电子健康素养文献支持 3 因素电子健康素养量表（eHEALS）模型在千禧一代、成年人和老年人样本中的特性，下一步适当的步骤是确定该模型是否可以在农村青少年样本中复制。本研究的目的是用 Paige 等人的最近 3 因素模型评估阿巴拉契亚肯塔基州 3 个学区的 7 年级学生样本。
本横断面研究包括阿巴拉契亚肯塔基州 3 个学区的学生（n = 146）的子样本。我们使用验证性因子分析（CFA）程序和小样本模型拟合指南来评估我们的模型，以及 1 个样本自举算法，具有偏差校正和加速 95%置信区间，以估计 eHEALS 与健康和技术变量之间的关联。
共有 137 名学生（注册 7 年级学生的 61%）完成了研究。CFA 结果表明，eHEALS 的 3 个因素负荷（信息意识、信息搜索和信息参与）较高（≥0.63）且具有统计学意义。我们观察到模型拟合良好的证据（近似均方根误差[RMSEA] = 0.07，标准化均方根残差[SRMR] = 0.03，比较拟合指数[CFI] = 0.99），结果与 Paige 等人的模型拟合（RMSEA = 0.06，SRMR = 0.08，CFI = 0.98）相当。相关性表明，拥有更多技术访问权限的学生与更高的信息搜索（r = 0.31）和更高的信息参与（r = 0.23）相关。eHEALS 评分与农村程度或性别无关。
3 因素 eHEALS 是一种可靠和有效的工具，可用于评估阿巴拉契亚肯塔基州农村 7 年级学生的电子健康素养。
