PDF(Pubmed)
Abstract：
UNASSIGNED: The integration of health and activity data from various wearable devices into research studies presents technical and operational challenges. The Awesome Data Acquisition Method (ADAM) is a versatile, web-based system that was designed for integrating data from various sources and managing a large-scale multiphase research study. As a data collecting system, ADAM allows real-time data collection from wearable devices through the device\'s application programmable interface and the mobile app\'s adaptive real-time questionnaires. As a clinical trial management system, ADAM integrates clinical trial management processes and efficiently supports recruitment, screening, randomization, data tracking, data reporting, and data analysis during the entire research study process. We used a behavioral weight-loss intervention study (SMARTER trial) as a test case to evaluate the ADAM system. SMARTER was a randomized controlled trial that screened 1741 participants and enrolled 502 adults. As a result, the ADAM system was efficiently and successfully deployed to organize and manage the SMARTER trial. Moreover, with its versatile integration capability, the ADAM system made the necessary switch to fully remote assessments and tracking that are performed seamlessly and promptly when the COVID-19 pandemic ceased in-person contact. The remote-native features afforded by the ADAM system minimized the effects of the COVID-19 lockdown on the SMARTER trial. The success of SMARTER proved the comprehensiveness and efficiency of the ADAM system. Moreover, ADAM was designed to be generalizable and scalable to fit other studies with minimal editing, redevelopment, and customization. The ADAM system can benefit various behavioral interventions and different populations.
摘要：
■将来自各种可穿戴设备的健康和活动数据集成到研究中，提出了技术和操作挑战。真棒数据采集方法(ADAM)是一种通用的，基于Web的系统，旨在集成来自各种来源的数据并管理大规模的多阶段研究研究。作为一个数据收集系统，ADAM允许通过设备的应用程序可编程接口和移动应用程序的自适应实时问卷从可穿戴设备收集实时数据。作为临床试验管理系统,ADAM集成了临床试验管理流程，并有效地支持招聘，筛选,随机化，数据跟踪,数据报告，和整个研究过程中的数据分析。我们使用行为减肥干预研究（SMARTER试验）作为测试案例来评估ADAM系统。SMARTER是一项随机对照试验，筛选了1741名参与者，招募了502名成年人。因此,ADAM系统被有效且成功地部署,以组织和管理SMARTER试验.此外，凭借其通用的集成能力，当COVID-19大流行停止面对面接触时，ADAM系统进行了必要的切换，以无缝，及时地进行完全远程评估和跟踪。ADAM系统提供的远程原生功能将COVID-19锁定对SMARTER试验的影响降至最低。SMARTER的成功证明了ADAM系统的全面性和高效性。此外，ADAM被设计为可推广和可扩展的，以适应其他研究，只需最少的编辑，再开发,和定制。ADAM系统可以使各种行为干预和不同人群受益。
