Health Services Research & Development, VA San Diego Healthcare System, San Diego, CA, 92161, USA.
Sage Bionetworks, Seattle, WA, 98109, USA.
Sci Data. 2020 Nov 27;7(1):418. doi: 10.1038/s41597-020-00753-2.
Conducting biomedical research using smartphones is a novel approach to studying health and disease that is only beginning to be meaningfully explored. Gathering large-scale, real-world data to track disease manifestation and long-term trajectory in this manner is quite practical and largely untapped. Researchers can assess large study cohorts using surveys and sensor-based activities that can be interspersed with participants' daily routines. In addition, this approach offers a medium for researchers to collect contextual and environmental data via device-based sensors, data aggregator frameworks, and connected wearable devices. The main aim of the SleepHealth Mobile App Study (SHMAS) was to gain a better understanding of the relationship between sleep habits and daytime functioning utilizing a novel digital health approach. Secondary goals included assessing the feasibility of a fully-remote approach to obtaining clinical characteristics of participants, evaluating data validity, and examining user retention patterns and data-sharing preferences. Here, we provide a description of data collected from 7,250 participants living in the United States who chose to share their data broadly with the study team and qualified researchers worldwide.
使用智能手机进行生物医学研究是一种研究健康和疾病的新方法，目前才刚刚开始得到有意义的探索。以这种方式收集大规模的真实世界数据来跟踪疾病表现和长期轨迹非常实用，但在很大程度上尚未开发。研究人员可以使用调查和基于传感器的活动来评估大型研究队列，这些活动可以穿插在参与者的日常生活中。此外，这种方法为研究人员提供了一种通过基于设备的传感器、数据聚合框架和连接的可穿戴设备收集上下文和环境数据的媒介。SleepHealth Mobile App Study (SHMAS) 的主要目的是利用一种新的数字健康方法更好地了解睡眠习惯和白天功能之间的关系。次要目标包括评估通过完全远程方式获得参与者临床特征的可行性、评估数据有效性，以及研究用户保留模式和数据共享偏好。在这里，我们提供了从 7250 名居住在美国的参与者那里收集的数据描述，这些参与者选择与研究团队和全球合格研究人员广泛分享他们的数据。
