模拟老年人对移动健康应用程序的持续意图:双路线的SEM-ANN方法
1College of Fine Arts, Henan Normal University, Xinxiang, China. xinnier522@126.com.
BMC public health
|December 2, 2025
概括
年龄较大的成年人.
科学领域:
- 老年学是指老年学的学科.
- 数字健康数字健康
- 人与计算机的交互
背景情况:
- 中国人口老龄化带来了健康管理的挑战.
- 与年轻用户相比,老年人对移动健康应用程序的持续意图较低.
研究的目的:
- 检查影响老年人继续使用移动健康应用程序的因素.
- 调查影响采用和持续使用的促进和阻碍因素.
主要方法:
- 混合方法结合结构方程建模 (SEM) 和人工神经网络 (ANN).
- 利用来自中国老年人的调查数据.
主要成果:
- 满意度和感知到的有用性会对继续工作的意图产生积极的影响.
- 阻力会对延续的意图产生负面影响. 满意度是ANN分析发现的最关键的预测因素.
结论:
- 证实了综合模型 (ECM和IRT) 对于解释持续意向的适用性.
- 强调老年人使用移动健康应用程序的多因素性质.
- 为改善老年人移动医疗技术参与提供了见解.
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