从概率模型和DART模型的角度来看,持续意图和数字健康资源:结构方程建模分析分析
Chengcheng Fei1, Haixia Zhou1, Wei Wu1
1School of Medical Humanities and Management, Wenzhou Medical University, Wenzhou, China.
Frontiers in public health
|July 1, 2024
概括
提高数字健康资源质量和用户参与度是提高用户持续意向的关键. 提高平台声誉和促进用户价值共同创造行为对于持续使用至关重要.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 人与计算机的交互
背景情况:
- 数字健康应用,包括互联网医院和在线健康社区,正在改变医疗保健的提供.
- 数字健康资源中用户持续意向低是一个重大挑战,受信息安全,服务质量和用户特征等因素的影响.
研究的目的:
- 调查影响用户继续使用数字健康资源的意愿因素.
- 探索用户价值共同创造行为,用户信任,感知有用性和用户参与数字健康的作用.
主要方法:
- 采用横截面调查来收集数字健康资源用户的数据.
- 使用结构方程建模 (SEM) 分析来检查变量之间的拟议关系.
主要成果:
- 信息质量,服务质量,平台声誉和情感支持积极影响用户的价值共同创造行为.
- 用户的信任和感知到的有用性调解了用户价值共同创造行为和持续意图之间的关系.
- 用户参与积极调节了用户价值共同创造行为与用户信任和感知的有用性之间的关联.
结论:
- 提高数字健康资源的质量和服务水平,以及促进用户价值共同创造,对于改善持续性意图至关重要.
- 建立强大的平台声誉,培养积极的社区氛围,增加用户参与和归属是数字健康平台的重要策略.
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