Brørs Gunhild, Wentzel-Larsen Tore, Dalen Håvard, Hansen Tina B, Norman Cameron D, Wahl Astrid, Norekvål Tone M
Clinic of Cardiology, St Olavs University Hospital, Trondheim, Norway.
Centre for Child and Adolescent Mental Health, Eastern and Southern Norway, Oslo, Norway.
J Med Internet Res. 2020 Jul 28;22(7):e17312. doi: 10.2196/17312.
Web-based technology has recently become an important source for sharing health information with patients after an acute cardiac event. Therefore, consideration of patients' perceived electronic health (eHealth) literacy skills is crucial for improving the delivery of patient-centered health information.
The aim of this study was to translate and adapt the eHealth Literacy Scale (eHEALS) to conditions in Norway, and to determine its psychometric properties. More specifically, we set out to determine the reliability (internal consistency, test-retest) and construct validity (structural validity, hypotheses testing, and cross-cultural validity) of the eHEALS in self-report format administered to patients after percutaneous coronary intervention.
The original English version of the eHEALS was translated into Norwegian following a widely used cross-cultural adaptation process. Internal consistency was calculated using Cronbach α. The intraclass correlation coefficient (ICC) was used to assess the test-retest reliability. Confirmatory factor analysis (CFA) was performed for a priori-specified 1-, 2-, and 3-factor models. Demographic, health-related internet use, health literacy, and health status information was collected to examine correlations with eHEALS scores.
A total of 1695 patients after percutaneous coronary intervention were included in the validation analysis. The mean age was 66 years, and the majority of patients were men (1313, 77.46%). Cronbach α for the eHEALS was >.99. The corresponding Cronbach α for the 2-week retest was .94. The test-retest ICC for eHEALS was 0.605 (95% CI 0.419-0.743, P<.001). The CFA showed a modest model fit for the 1- and 2-factor models (root mean square error of approximation>0.06). After modifications in the 3-factor model, all of the goodness-of-fit indices indicated a good fit. There was a weak correlation with age (r=-0.206). Between-groups analysis of variance showed a difference according to educational groups and the eHEALS score, with a mean difference ranging from 2.24 (P=.002) to 4.61 (P<.001), and a higher eHEALS score was found for patients who were employed compared to those who were retired (mean difference 2.31, P<.001). The eHEALS score was also higher among patients who reported using the internet to find health information (95% CI -21.40 to -17.21, P<.001), and there was a moderate correlation with the patients' perceived usefulness (r=0.587) and importance (r=0.574) of using the internet for health information. There were also moderate correlations identified between the eHEALS score and the health literacy domains appraisal of health information (r=0.380) and ability to find good health information (r=0.561). Weak correlations with the mental health composite score (r=0.116) and physical health composite score (r=0.116) were identified.
This study provides new information on the psychometric properties of the eHEALS for patients after percutaneous coronary intervention, suggesting a multidimensional rather than unidimensional construct. However, the study also indicated a redundancy of items, indicating the need for further validation studies.
ClinicalTrials.gov NCT03810612; https://clinicaltrials.gov/ct2/show/NCT03810612.
基于网络的技术最近已成为急性心脏事件后与患者共享健康信息的重要来源。因此,考虑患者的感知电子健康(eHealth)素养技能对于改善以患者为中心的健康信息传递至关重要。
本研究的目的是将电子健康素养量表(eHEALS)翻译并改编以适用于挪威的情况,并确定其心理测量特性。更具体地说,我们着手确定经皮冠状动脉介入治疗后以自我报告形式施用于患者的eHEALS的信度(内部一致性、重测)和结构效度(结构效度、假设检验和跨文化效度)。
按照广泛使用的跨文化改编过程,将eHEALS的原始英文版本翻译成挪威语。使用Cronbach α计算内部一致性。组内相关系数(ICC)用于评估重测信度。对预先指定的单因素、双因素和三因素模型进行验证性因素分析(CFA)。收集人口统计学、与健康相关的互联网使用、健康素养和健康状况信息,以检查与eHEALS评分的相关性。
共有1695例经皮冠状动脉介入治疗后的患者纳入验证分析。平均年龄为66岁,大多数患者为男性(1313例,77.46%)。eHEALS的Cronbach α>.99。两周重测的相应Cronbach α为.94。eHEALS的重测ICC为0.605(95%CI 0.419 - 0.743,P<.001)。CFA显示单因素和双因素模型的拟合度一般(近似均方根误差>0.06)。在对三因素模型进行修改后,所有拟合优度指标均显示拟合良好。与年龄的相关性较弱(r = -0.206)。方差分析的组间分析显示,根据教育程度组和eHEALS评分存在差异,平均差异范围为2.24(P = 0.002)至4.61(P<.001),与退休患者相比,在职患者的eHEALS评分更高(平均差异2.31, P<.001)。报告使用互联网查找健康信息的患者的eHEALS评分也更高(95%CI -21.40至-17.21,P<.001),并且与患者对使用互联网获取健康信息的感知有用性(r = 0.587)和重要性(r = 0.574)存在中度相关性。在eHEALS评分与健康素养领域对健康信息的评估(r = 0.380)和找到优质健康信息的能力(r = 0.561)之间也发现了中度相关性。与心理健康综合评分(r = 0.116)和身体健康综合评分(r = 0.116)的相关性较弱。
本研究提供了关于经皮冠状动脉介入治疗后患者eHEALS心理测量特性的新信息,表明其为多维结构而非单维结构。然而,该研究也表明项目存在冗余,这表明需要进一步的验证研究。
ClinicalTrials.gov NCT03810612;https://clinicaltrials.gov/ct2/show/NCT03810612。