触发基于实时检测日常生活压力的即时适应性干预:方法的发展和纵向多中心评估
S A Bögemann1, F Krause2, A van Kraaij3
1Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands. sophie.bogemann@donders.ru.nl.
这项研究展示了一种用于实时压力管理的新移动系统. 它使用心理和生理数据,在压力水平较高时提供即时适应干预 (JITAI).
科学领域:
- 心理学 心理学 心理学
- 数字健康数字健康
- 计算社会科学 计算社会科学
背景情况:
- 与压力相关的疾病对全球健康构成重大挑战.
- 移动即时适应性干预 (JITAI) 为实时,特定环境的压力管理提供了一个有希望的方法.
- 目前JITAI在压力研究中的应用仍然有限.
研究的目的:
- 评估一种用于实时应激干预的新型JITAI算法的可行性.
- 整合心理 (生态瞬间评估 - EMA) 和生理 (生态生理评估 - EPA) 数据用于压力检测.
- 评估JITAI系统的技术可行性,参与者遵守和用户体验.
主要方法:
- 一项多中心研究涉及5个研究站点的215名参与者.
- 开发一个分析EMA和EPA数据的JITAI算法,以生成个性化的压力评分.
- 根据压力得分超过个性化值,实时触发干预措施.
主要成果:
- 吉塔伊算法成功处理了EMA和EPA的综合数据,以实时触发干预.
- 技术可行性得到证明,68%的EMA提示包含EPA特征.
- 该系统每天平均触发了1.61次干预,实现了EMA和JITAI的43%合规性,用户反突出了整合挑战.
结论:
- 开发的JITAI算法显示了实时压力干预交付的初步可行性.
- 实现了有效的数据处理和干预触发,但用户体验需要优化以实现日常集成.
- 未来的研究应该专注于减少参与者的负担,以提高坚持和可接受性.
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