使用mHealth预测儿童和青少年的喘恶化 (喘儿童的移动健康):观察性研究的协议
Naphtal Nyirimanzi1, Myriam Bransi2,3, François-Pierre Counil4,5
1Department of Biomedical Sciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
JMIR research protocols
|September 11, 2025
概括
对于患有喘的儿童 (MoKA) 的移动健康研究使用移动应用程序来预测儿童即将发生的喘恶化. 这种方法旨在识别有风险的儿童,以便及时进行干预,改善喘管理.
科学领域:
- 儿科呼吸系统医学 儿科呼吸系统医学
- 数字健康和移动健康
- 预测分析在医疗保健中的应用
背景情况:
- 儿童喘恶化经常导致急诊室的访问.
- 目前用于喘恶化的预测工具往往缺乏实时功能.
- 移动健康 (mHealth) 为实时,多式联运数据集成提供了一个有希望的途径,以提高喘预测.
研究的目的:
- 使用RespiSentinel移动应用程序开发和验证儿童即将发生的喘恶化预测模型.
- 评估实时夜间咳频率与喘控制/恶化之间的关联.
- 评估RespiSentinel应用程序对于喘自我管理的可接受性.
主要方法:
- 一项前性队列研究,涉及7个加拿大三级儿科中心2000名儿童 (1-17岁).
- 使用参与者通过RespiSentinel应用程序报告的数据,结合环境 (空气污染物) 和流行病学 (呼吸系统病毒流行率) 数据.
- 主要结局:由系统性皮质类固醇使用和紧急护理/ED访问或住院定义的喘恶化;通过音频录音监测夜间咳.
主要成果:
- 将使用多式联络数据开发一个经过验证的喘恶化预测模型.
- 该模型旨在帮助患者,家庭和医疗保健提供者预测和预防严重喘恶化.
- 实时数据集成是改善儿科喘控制预测准确性的关键.
结论:
- 摩卡研究利用mHealth数据,早期识别高风险喘恶化儿童.
- 目标是能够及时进行干预,从而减少儿科人口中喘相关的发病率.
- 这项研究支持将数字健康工具整合到常规儿科喘护理中.
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