实施数字健康干预 (CHAMP) 以自我监测高血压:为3个相互关联的实施研究的协议
Laura Martinengo1, Ngoc Huong Lien Ha1, Eugene Tay1
1Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
JMIR research protocols
|October 17, 2025
概括
这项研究优化了慢性疾病管理计划 (CHAMP) 聊天机器人用于初级保健中高血压自我管理. 它开发和测试战略,以改善数字卫生干预实施和患者参与.
科学领域:
- 数字健康数字健康
- 医疗保健服务研究 医疗服务研究
- 医疗保健中的人工智能
背景情况:
- 高血压影响全球31%的成年人,需要有效的自我管理工具.
- 基于人工智能 (AI) 的聊天机器人为慢性疾病自我管理提供了潜力.
- 慢性疾病管理计划 (CHAMP) 集成了患者聊天机器人和AI临床决策支持.
研究的目的:
- 优化CHAMP在初级保健机构的部署.
- 开发和试点测试CHAMP的实施策略.
- 评估CHAMP实施的适当性和有效性.
主要方法:
- 关于移动健康和聊天机器人实施因素的快速证据审查.
- 一项混合方法研究,评估CHAMP部署,组织因素以及障碍/促进因素.
- 使用已建立的框架和行为科学开发实施策略,以优化聊天机器人消息.
主要成果:
- 证据审查协议已注册;查正在进行中.
- 获得了研究2的伦理审批; 完成了与医疗保健提供者和领导层的采访.
- 在研究2中等待IRB批准患者采访.
结论:
- 研究结果将指导CHAMP在新加坡的进一步实施和扩展.
- 成功的数字健康干预可以提高医疗保健的提供,而不会给系统带来过重负担.
- 优化AI聊天机器人的参与是慢性疾病自我管理支持的关键.
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