扩展电子健康素养尺度的验证:结构有效性,构造有效性和测量不变性
Gregor Petrič1, Sara Atanasova2
1Center for Methodology and Informatics, Faculty of Social Sciences, University of Ljubljana, Kardeljeva ploščad 5, Ljubljana, 1000, Slovenia. gregor.petric@fdv.uni-lj.si.
BMC public health
|July 25, 2024
概括
这项研究验证了针对普通人群的扩展电子健康识字量表 (eHEALS-E). 该尺度显示了各种社会人口统计学群体的强大测量不变性,确保了公正的电子健康素养评估.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 心理测量 心理测量 心理测量
背景情况:
- 越来越多地使用在线健康信息,需要采取强有力的电子健康素养 (电子健康素养) 措施.
- 现有的尺度可能无法在不同的人口群体中验证,这可能会在评估中引入偏见.
- 准确测量电子健康素养对于有针对性的干预和减少健康不平等至关重要.
研究的目的:
- 在一般人口样本中验证扩展电子健康识字量表 (eHEALS-E).
- 调查eHEALS-E尺度的结构有效性,内部一致性和构造有效性.
- 检查eHEALS-E尺度在性别,年龄,教育和社会地位方面的测量不变性.
主要方法:
- 数据来自1944个使用互联网获取健康信息的个人代表性样本.
- 修订后的eHEALS-E规模使用多组确认因子分析进行了分析.
- 评估结构有效性,内部一致性,收有效性,区分有效性和测量不变性.
主要成果:
- 经过修订的6维eHEALS-E尺度表现出与数据的良好匹配.
- 该尺度表现出良好的内部一致性 (α = 0.89).
- 在社会人口统计学群体中发现了强大的测量不变性,部分证据证明了收和歧视的有效性.
结论:
- eHEALS-E规模为不同社会群体的电子健康素养提供了公正的评估.
- 这种经过验证的尺度对于开发有效的干预措施来减少健康不平等至关重要.
- 确保干预措施对所有个人同样有效和有效,无论他们的背景如何.
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