电子健康素养干预措施的有效性:实验研究的系统审查和元分析
Chiara Barbati1, Elvira Maranesi2, Cinzia Giammarchi3
1Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
BMC public health
|January 24, 2025
概括
量身定制的电子健康素养 (eHL) 干预措施显著提高了数字健康技能,提高了患者的治疗结果和公平获取健康信息. 这一系统审查证实了这些有针对性的方法的有效性.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
背景情况:
- 电子健康素养 (eHL) 对于导航数字健康技术和获取健康信息至关重要.
- 低的eHL可以阻碍适当的技术使用,并加剧健康不平等.
- 这项研究解决了对不同人群中eHL干预有效性的证据的需求.
研究的目的:
- 系统地审查和评估对电子健康素养干预措施的实验证据.
- 量化汇集有关电子卫生健康干预措施有效性的数据.
- 在不同的人口群体中确定有效的增强eHL的战略.
主要方法:
- 在多个数据库 (PubMed,Scopus,Web of Science,Embase,Cochrane,ClinicalTrials.gov) 中按照PRISMA指南进行系统审查.
- 包含测量eHL的原始实验研究,使用经过验证的尺度,如eHealth识字量表 (eHEALS).
- 随机效应模型元分析以比较干预前,干预后和干预与对照组的结果.
主要成果:
- 15项涉及成年人,老年人和年轻人的研究 (2011-2023) 符合纳入标准.
- 使用eHEALS进行的10项研究的元分析显示,干预后的平均显著增加为5.81个点.
- 与对照组相比,干预组表现出明显更高的eHL改善 (平均eHEALS差异为3.62分).
结论:
- 定制的电子健康素养干预措施在显著提高数字健康能力方面是有效的.
- 结果为设计针对不同人群的有针对性的eHL干预提供了基于证据的见解.
- 改善电子健康是促进公平获取健康信息和改善患者治疗结果的关键.
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