老年人使用mHealth应用程序的预测因素和感知:对护士支持干预的混合方法研究
1Department of Nursing, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China; School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, China.
Journal of the American Medical Directors Association
|February 2, 2026
概括
护士的支持是老年人持续移动健康 (mHealth) 参与的关键. 由护士培养的优化时间和信任,预测长期使用和数据共享.
科学领域:
- 老年学是指老年学的学科.
- 数字健康数字健康
- 护理科学 护理科学
背景情况:
- 持续参与移动健康 (mHealth) 干预仍然是社区老年人面临的挑战.
- 了解长期使用mHealth的预测因素对于有效的数字健康战略至关重要.
研究的目的:
- 检查护士支持的干预措施,以实现持续的移动健康参与.
- 确定老年人长期使用mHealth的预测因素.
主要方法:
- 解释性的顺序混合方法设计.
- 量化分析利用XGBoost机器学习对1532名参与者的纵向行为数据进行了量化分析.
- 对32名参与者的深度访谈进行了定性主题分析.
主要成果:
- 早晨的通知响应 (8-10 am) 是保留最强的预测因素.
- 定性发现揭示了"数字伴侣"和人类化特征.
- 与商业平台相比,护士调解显著增加了数据共享的意愿;高度坚持的用户重视临床集成.
结论:
- 护士支持通过优化时间,建立信任和临床整合来提高mHealth参与度.
- 建议包括实施护士主导的指导,电子健康记录整合和支持性报销模式.
- 未来的研究应该专注于这些干预措施的长期结果和跨文化适用性.
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