在线干预解决健康错误信息:范围审查
Hiya Grover1, Radwa Nour2, Nabil Zary2
1School of Medicine, Queen's University Belfast, Belfast, United Kingdom.
在线干预有效地利用教育课程和反话来打击健康错误信息. 在调整策略以适应错误信息特征和了解易受影响因素方面存在差距,特别是在弱势群体中.
科学领域:
- 公共卫生
- 关于健康的信息
- 数字健康
背景情况:
- 错误的健康信息通过影响行为和决策造成重大公共健康风险.
- 在线平台和社交媒体扩大了健康错误信息,增加了对有效干预的需求.
- 理论框架对于开发解决错误信息特征和用户易受影响的干预措施至关重要.
研究的目的:
- 审查旨在减轻健康错误信息对公众健康的不利影响的在线干预措施.
- 探索干预类型,目标人群,以及错误信息和人类易受影响的特征.
- 确定有关健康错误信息干预的理论基础和现有文献上的差距.
主要方法:
- 根据PRISMA-ScR指南进行系统范围审查.
- 使用MeSH和关键字搜索了五个数据库 (2018-2024年).
- 包括对干预措施,目标和理论框架的数据提取选后的30项研究.
主要成果:
- 大多数干预措施 (63%) 集中在COVID-19错误信息上,利用教育课程 (73%) 和反言 (23%).
- 干预的目标是错误信息特征 (53%) 和人类易感因素 (47%),包括认知,情感和社会动态.
- 理论基础指导了77%的干预,涵盖了疫苗接种,教育,动机和行为等领域.
结论:
- 在线卫生错误信息干预通常采用类似的策略,
- 在调整干预措施以适应特定的错误信息策略和了解脆弱性方面存在差距,特别是在弱势群体中.
- 需要加强报告和理论与干预设计之间的联系,以及跨学科的合作.
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