心脏病患者中eHealth素养量表德文修订版的心理测量特性：测量不变性的验证与测试
Psychometric properties of the German revised version of the eHealth literacy scale in individuals with cardiac diseases: Validation and test of measurement invariance.
作者信息
Bäuerle Alexander, Marsall Matthias, Jahre Lisa Maria, Rammos Christos, Mallien Charlotta, Skoda Eva-Maria, Rassaf Tienush, Lortz Julia, Teufel Martin
机构信息
Clinic for Psychosomatic Medicine and Psychotherapy, University of Duisburg-Essen, LVR-University Hospital Essen, Essen 45147, Germany.
Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen 45147, Germany.
出版信息
Digit Health. 2023 Aug 14;9:20552076231194915. doi: 10.1177/20552076231194915. eCollection 2023 Jan-Dec.
BACKGROUND
The internet is most people's primary source of (health) information. However, no validated instrument exists to assess eHealth literacy in the group of patient with cardiac diseases.
OBJECTIVE
The objective of this study was the evaluation of the psychometric properties of the German revised version of the eHealth literacy scale (GR-eHEALS) in individuals with coronary artery disease (CAD) and congestive heart failure (CHF).
METHODS
A cross-sectional study was conducted. = 455 were included in the statistical analyses. The assessment compromised the GR-eHEALS, medical history, sociodemographic data, and technology-related data. Confirmatory factor analyses, correlational analyses, and tests of measurement invariance were performed.
RESULTS
The two-factorial model reached a good model fit. The sub-scales information seeking and information appraisal, as well as the eHealth literacy total score, reached high reliability coefficients. Construct and criterion validity was fully confirmed For the two-factorial model, measurement invariance up to the scalar level could be confirmed regarding the sociodemographic characteristics sex, age, and educational level.
CONCLUSIONS
This study confirmed the two-factor structure, construct, and criterion validity as well as measurement invariance at the scalar level for sex, age, and educational level of the GR-eHEALS scale in a sample of individuals with CAD and CHF.
背景
互联网是大多数人（健康）信息的主要来源。然而，目前尚无经过验证的工具来评估心脏病患者群体的电子健康素养。
目的
本研究的目的是评估德国修订版电子健康素养量表（GR-eHEALS）在冠心病（CAD）和充血性心力衰竭（CHF）患者中的心理测量特性。
方法
进行了一项横断面研究。455名受试者纳入统计分析。评估内容包括GR-eHEALS、病史、社会人口统计学数据和技术相关数据。进行了验证性因素分析、相关性分析和测量不变性检验。
结果
两因素模型具有良好的模型拟合度。子量表信息寻求和信息评估以及电子健康素养总分具有较高的信度系数。结构效度和效标效度得到充分证实。对于两因素模型，在社会人口统计学特征性别、年龄和教育水平方面，标量水平的测量不变性得到了证实。
结论
本研究证实了GR-eHEALS量表在CAD和CHF患者样本中的两因素结构、结构效度、效标效度以及性别、年龄和教育水平在标量水平上的测量不变性。
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