通过聊天机器人来调整世卫组织基于证据的自我帮助+干预以应对压力管理的方法
Valentina Fietta1,2, Silvia Rizzi2, Lorenzo Gios3
1Department of General Psychology, University of Padua, Via Venezia, 8, Padua, IT.
JMIR research protocols
|June 13, 2025
概括
这项研究将世界卫生组织的Self-Help Plus (SH+) 心理健康计划适应到ALBA聊天机器人应用程序中. 这种数字化转型扩大了女性,包括乳腺癌患者和孕妇,获得基于证据的心理健康支持的机会.
科学领域:
- 数字心理健康干预数字心理健康干预
- 电子健康和移动健康应用程序
- 基于证据的心理支持.
背景情况:
- 研究适应世界卫生组织的自助加 (SH +) 干预数字交付.
- 专注于通过技术创新扩大心理健康支持.
- 将SH+集成到一个名为ALBA (自动化幸福助理) 的聊天机器人驱动的移动应用程序中.
研究的目的:
- 研究将面对面,以小组为基础的干预转变为技术支持的模型.
- 针对乳腺癌患者和孕妇的干预措施进行定制.
- 描述了技术支持交付和特定人群定制的适应策略.
主要方法:
- 采用多学科的方法,在心理学,电子健康和交互设计方面拥有专业知识.
- 使用以用户为中心和服务设计方法来进行代开发和反.
- 遵循与肥胖相关的行为干预试验 (ORBIT) 模型,包括文献审查,利益相关者咨询和评估.
主要成果:
- 概述了SH+干预措施在ALBA数字平台上的适应过程.
- 详细介绍了将面对面干预转化为技术支持模型的挑战和机遇.
- 突出了针对特定人群的定制,如患有乳腺癌的妇女和孕妇.
结论:
- 通过ALBA对SH+的数字化适应提高了心理健康干预措施的可访问性和个性化.
- 虚拟指导应用程序对于提高在mHealth格式中提供心理支持的可用性至关重要.
- 未来的工作包括现实世界的测试和扩大适应各种群体和临床应用.
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