使用德国修订的电子健康素养量表评估COVID-19后病情患者的电子健康素养:验证研究
Matthias Marsall1, Hannah Dinse2,3, Julia Schröder2
1Institute for Patient Safety, University Hospital Bonn, Bonn, Germany.
JMIR formative research
|April 25, 2024
概括
德国修订的电子健康素养量表 (GR-eHEALS) 是可靠且有效的,用于评估COVID-19后患者的电子健康素养. 这对于打击这个脆弱群体在线错误信息至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 心理测量 心理测量 心理测量
- 数字健康数字健康
背景情况:
- 电子健康素养量表 (eHEALS) 衡量电子健康素养 (eHL),但其在COVID-19后病情患者中的有效性尚不清楚.
- 患有COVID-19后病情的患者容易受到在线错误信息的影响,这使得eHL评估至关重要.
研究的目的:
- 评估德国修订电子卫生识字量表 (GR-eHEALS) 在经历COVID-19后情况的个体中的有效性和可靠性.
主要方法:
- 一项横截面研究 (2022年1月至5月) 调查了330名参与者,使用GR-eHEALS,健康状况,互联网使用和医疗数据.
- 使用了确认因素分析 (CFA),相关性分析和测量不变性测试.
主要成果:
- 双因素GR-eHEALS模型表现出极好的适应性和良好的可靠性 (Cronbach≥.86).
- 融合有效性得到了互联网知识,使用时间和减少互联网焦虑的相关性.
- 通过与心理健康和内部健康控制点的关联,证实了标准的有效性,但不是身体健康或生活质量.
结论:
- GR-eHEALS 是一种可靠且在很大程度上有效的工具,用于评估COVID-19后患者的eHL.
- 测量不变性被证实为性别,允许组比较,但需要谨慎对年龄和教育.
- 对于面临错误信息的这一群体来说,eHL至关重要;建议进一步研究替代工具.
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