影响在线健康社区用户健康信息辨别能力的因素:基于SEM和fsQCA
CaiPing Wei1, Yufeng Cai1, Jianwei Liu1
1Department of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, China.
Frontiers in public health
|October 1, 2024
概括
了解在线健康信息质量至关重要. 信息来源,环境,技术和用户感知等因素显著影响用户在线识别可信的健康信息的能力.
科学领域:
- 卫生沟通健康沟通
- 信息科学 信息科学 信息科学
- 社交计算社会计算
背景情况:
- 在线健康社区是健康信息的主要来源.
- 信息质量差,错误信息和谣言构成了重大挑战.
- 辨别能力对于明智的健康决策和社会稳定至关重要.
研究的目的:
- 在线健康社区中模拟影响用户健康信息辨别能力的因素.
- 分析影响健康信息辨别的复杂因果关系.
- 识别关键配置,触发辨别能力的关键配置.
主要方法:
- 综合刺激-有机体-反应,信息生态学和思维海绵理论.
- 开发了一个基于理论变量的问卷.
- 采用结构方程建模 (SEM) 和模糊集定性比较分析 (fsQCA).
主要成果:
- 信息维度 (来源,环境,技术,人) 对辨别有积极的影响.
- 确定了触发辨别能力的四种配置.
- 核心条件包括信息来源,支持,技术方面和感知风险.
- 信息质量和情感支持是可以替代的,信息和情感支持也是可以替代的.
结论:
- 这项研究为影响健康信息辨别的因素提供了新的视角.
- 结果为在线健康社区服务和用户教育提供参考资料.
- 强调在线医疗环境中信息质量,支持和技术的重要性.
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