The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
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DOI：
10.1038/nbt.3826
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发表时间：
2017-04-01
影响因子：
46.9
通讯作者：
Schadt, Eric E.
中科院分区：
文献类型：
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作者：
Chan, Yu-Feng Yvonne;Wang, Pei;Schadt, Eric E.
使用移动的健康应用程序进行观察性临床研究的可行性需要严格的验证。在这里，我们报告了哮喘移动的健康研究的初步结果，这是一项研究，包括招募，同意和登记，完全通过智能手机远程进行。我们实现了研究人员和来自美国各地的7，593名参与者之间的安全双向数据流，其中包括许多严重哮喘患者。我们的平台能够前瞻性地收集纵向、多维数据（例如，调查、设备、地理位置和空气质量）。相关变量的一致趋势和相关性支持通过这种方法获得的数据的质量。我们发现，在受高温、花粉和野火影响的地区，哮喘症状的报告有所增加。这项技术的潜在挑战包括选择偏差、低保留率、报告偏差和数据安全。这些问题需要关注，以实现移动的平台在研究和患者护理中的全部潜力。
The feasibility of using mobile health applications to conduct observational clinical studies requires rigorous validation. Here, we report initial findings from the Asthma Mobile Health Study, a research study, including recruitment, consent, and enrollment, conducted entirely remotely by smartphone. We achieved secure bidirectional data flow between investigators and 7,593 participants from across the United States, including many with severe asthma. Our platform enabled prospective collection of longitudinal, multidimensional data (e.g., surveys, devices, geolocation, and air quality) in a subset of users over the 6-month study period. Consistent trending and correlation of interrelated variables support the quality of data obtained via this method. We detected increased reporting of asthma symptoms in regions affected by heat, pollen, and wildfires. Potential challenges with this technology include selection bias, low retention rates, reporting bias, and data security. These issues require attention to realize the full potential of mobile platforms in research and patient care.