Huang Yen-Ming, Yang Yu-Meng, Wang Tzu, Chan Hsun-Yu
Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei City, Taiwan.
School of Pharmacy, College of Medicine, National Taiwan University, Taipei City, Taiwan.
Digit Health. 2025 Mar 13;11:20552076251325967. doi: 10.1177/20552076251325967. eCollection 2025 Jan-Dec.
The rise in online health information access has shifted health-seeking behaviors, yet a validated tool to assess eHealth literacy for the Taiwanese context remains unavailable. This study aimed to translate the eHealth Literacy Scale (eHEALS) into Traditional Chinese and validate its factor structure and reliability among individuals with type 2 diabetes (T2D).
The original 8-item eHEALS was translated into Traditional Chinese (eHEALS-TC) using forward and backward translation techniques, with input from four experts in pharmacy practice and educational psychology. A cross-sectional study was conducted to examine the validity and reliability of the eHEALS-TC in adults with T2D who were taking diabetes medication. Participants were recruited from five community pharmacies in Taiwan between June 2023 and May 2024. The internal consistency of the eHEALS-TC was assessed using McDonald's omega (ω), while construct validity was evaluated through exploratory factor analysis. Criterion validity was determined by exploring the correlation between the mean total eHEALS-TC score and demographic factors, self-efficacy, health status, medication adherence, and A1C levels.
A total of 273 patients participated in the study. Exploratory factor analysis revealed that all eHEALS-TC items were loaded onto a single factor, accounting for 84.95% of the total variance. The internal consistency reliability yielded a McDonald's ω of 0.974. The mean total eHEALS-TC score was positively associated with younger age ( = .382, < .001), higher education attainment ( = .525, < .001), greater household income ( = .359, < .001), better self-reported health status ( = .191, = .002), stronger self-efficacy in medication use ( = .167, = .006), and fewer barriers to medication-taking ( = .143, = .018). However, no association was found between the mean total eHEALS-TC score and A1C levels ( = .048, = .427).
The findings provide empirical evidence supporting the validity, reliability, and efficiency of the eHEALS-TC as a tool for assessing eHealth literacy among individuals with varying demographics and health conditions in Taiwan.
在线获取健康信息的增加改变了人们寻求健康的行为方式,但在台湾地区,仍缺乏一种经过验证的工具来评估电子健康素养。本研究旨在将电子健康素养量表(eHEALS)翻译成繁体中文,并验证其在2型糖尿病(T2D)患者中的因子结构和信度。
采用正向和反向翻译技术,在四位药学实践和教育心理学专家的参与下,将原始的8项eHEALS翻译成繁体中文(eHEALS-TC)。进行了一项横断面研究,以检验eHEALS-TC在服用糖尿病药物的成年T2D患者中的有效性和信度。2023年6月至2024年5月期间,从台湾的五家社区药房招募了参与者。使用麦克唐纳ω系数(ω)评估eHEALS-TC的内部一致性,同时通过探索性因子分析评估结构效度。通过探索eHEALS-TC总分均值与人口统计学因素、自我效能、健康状况、药物依从性和糖化血红蛋白(A1C)水平之间的相关性来确定效标效度。
共有273名患者参与了该研究。探索性因子分析表明,所有eHEALS-TC项目均加载到一个因子上,占总方差的84.95%。内部一致性信度得出麦克唐纳ω系数为0.974。eHEALS-TC总分均值与较年轻的年龄(r = 0.382,p < 0.001)、较高的教育程度(r = 0.525,p < 0.001)、较高的家庭收入(r = 0.359,p < 0.001)、自我报告的较好健康状况(r = 0.191,p = 0.002)、较强的用药自我效能(r = 0.167,p = 0.006)以及较少的用药障碍(r = 0.143,p = 0.018)呈正相关。然而,未发现eHEALS-TC总分均值与A1C水平之间存在关联(r = 0.048,p = 0.427)。
研究结果提供了实证证据,支持eHEALS-TC作为评估台湾不同人口统计学和健康状况个体电子健康素养工具的有效性、信度和效率。