Castro Mario, Zavod Merrill, Rutgersson Annika, Jörntén-Karlsson Magnus, Dutta Bhaskar, Hagger Lynn
Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
User Experience, AstraZeneca, Wilmington, DE, USA.
J Asthma Allergy. 2024 Jul 10;17:653-666. doi: 10.2147/JAA.S458618. eCollection 2024.
The iPREDICT program aimed to develop an integrated digital health solution capable of continuous data streaming, predicting changes in asthma control, and enabling early intervention.
As part of the iPREDICT program, asthma triggers were characterized by surveying 221 patients (aged ≥18 years) with self-reported asthma for a risk-benefit analysis of parameters predictive of changes in disease control. Seventeen healthy volunteers (age 25-65 years) tested 13 devices to measure these parameters and assessed their usability attributes.
Patients identified irritants such as chemicals, allergens, weather changes, and physical activity as triggers that were the most relevant to deteriorating asthma control. Device testing in healthy volunteers revealed variable data formats/units and quality issues, such as missing data and low signal-to-noise ratio. Based on user preference and data capture validity, a spirometer, vital sign monitor, and sleep monitor formed the iPREDICT integrated system for continuous data streaming to develop a personalized/predictive algorithm for asthma control.
These findings emphasize the need to systematically compare devices based on several parameters, including usability and data quality, to develop integrated digital technology programs for asthma care.
iPREDICT项目旨在开发一种集成数字健康解决方案，该方案能够实现连续数据流，预测哮喘控制情况的变化，并实现早期干预。
作为iPREDICT项目的一部分，通过对221名自我报告患有哮喘的患者（年龄≥18岁）进行调查来确定哮喘触发因素，以对预测疾病控制变化的参数进行风险效益分析。17名健康志愿者（年龄25 - 65岁）测试了13种用于测量这些参数的设备，并评估了它们的可用性属性。
患者将化学物质、过敏原、天气变化和体育活动等刺激因素确定为与哮喘控制恶化最相关的触发因素。在健康志愿者中进行的设备测试揭示了数据格式/单位的多样性以及数据质量问题，如数据缺失和低信噪比。基于用户偏好和数据捕获有效性，肺活量计、生命体征监测仪和睡眠监测仪构成了iPREDICT集成系统，用于连续数据流，以开发针对哮喘控制的个性化/预测性算法。
这些发现强调了有必要基于包括可用性和数据质量在内的多个参数系统地比较设备，以开发用于哮喘护理的集成数字技术项目。
