基于经验抽样数据的反:当前方法的例子和对未来研究的考虑.
Sara Laureen Bartels1,2, Catherine van Zelst3,4, Bernardo Melo Moura1,5,6
1Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.
Heliyon
|October 9, 2023
概括
经验抽样方法 (ESM) 的反显示出作为临床工具的希望. 研究人员强调需要培训,在线接口和面对面的讨论,以便在共享决策中有效实施.
科学领域:
- 心理评估 心理评估
- 临床信息学 临床信息学
- 数字健康数字健康
背景情况:
- 经验采样方法 (ESM) 和生态瞬间评估 (EMA) 在日常生活中收集动态的个人数据.
- 目前正在探索基于ESM的反作为一种改善共享决策的临床工具.
- 关于产生,利用和实施基于ESM的反,存在知识差距.
研究的目的:
- 介绍正在进行的ESM项目,利用比利时-荷兰研究网络中的反.
- 总结研究人员在不同患者群体中基于ESM的反的经验.
- 确定基于ESM的有效反实施的关键方面.
主要方法:
- 审查正在进行的15个ESM项目,向患者提供反.
- 来自8名经验丰富的ESM研究人员的定性数据合成.
- 分析基于ESM的反交付的实际考虑.
主要成果:
- 对医疗保健专业人员和研究人员的培训至关重要.
- 在线接口和图形可视化有助于数据呈现.
- 面对面的患者互动对于讨论数据的相关性和影响至关重要.
结论:
- 基于ESM的反对临床应用具有重大潜力.
- 有效实施需要专门的培训,技术支持和以患者为中心的沟通.
- 未来的研究应该专注于制定基于ESM的反的基于共识的指导方针.
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