Department of Physics, Randolph College, Lynchburg, VA, 24503, USA.
Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA.
J Neurosci Methods. 2018 Apr 15;300:59-67. doi: 10.1016/j.jneumeth.2017.08.034. Epub 2017 Sep 1.
The past decades have seen phenomenal growth in the availability of inexpensive and powerful personal computing devices. Efforts to leverage these devices to improve health care outcomes promise to remake many aspects of healthcare delivery, but remain in their infancy.
We describe the development of a mobile health platform designed for daily measures of functional status in ambulatory, community dwelling subjects, including those who have Alzheimer's disease or related neurodegenerative disorders. Using Smartwatches and Smartphones we measure subject overall activity and outdoor location (to derive their lifespace). These clinically-relevant measures allow us to track a subject's functional status in their natural environment over prolonged periods of time without repeated visits to healthcare providers. Functional status metrics are integrated with medical information and caregiver reports, which are used by a caregiving team to guide referrals for physician/APRN/NP care. COMPARISON: with Existing Methods We describe the design tradeoffs involved in all aspects of our current system architecture, focusing on decisions with significant impact on system cost, performance, scalability, and user-adherence.
We provide real-world data from current subject enrollees demonstrating system accuracy and reliability.
We document real-world feasibility in a group of men and women with dementia that Smartwatches/Smartphones can provide long-term, relevant clinical data regarding individual functional status. We describe the underlying considerations of this system so that interested organizations can adapt and scale our approach to their needs. Finally, we provide a potential agenda to guide development of future systems.
过去几十年，廉价、功能强大的个人计算设备的数量呈指数级增长。利用这些设备改善医疗保健效果的努力有望重塑医疗服务的许多方面，但仍处于起步阶段。
我们描述了一个移动健康平台的开发，该平台旨在对门诊、社区居住的受试者进行日常功能状态测量，包括患有阿尔茨海默病或相关神经退行性疾病的受试者。我们使用智能手表和智能手机来测量受试者的总体活动和户外位置（以确定他们的生活空间）。这些具有临床意义的测量指标使我们能够在不频繁访问医疗保健提供者的情况下，在自然环境中长时间跟踪受试者的功能状态。功能状态指标与医疗信息和护理人员报告集成在一起，由护理团队用于指导医生/APRN/NP 护理的转介。
我们描述了我们当前系统架构各个方面涉及的设计权衡，重点介绍了对系统成本、性能、可扩展性和用户依从性有重大影响的决策。
我们提供了当前受试者登记的真实世界数据，证明了系统的准确性和可靠性。
我们记录了一组患有痴呆症的男性和女性的真实世界可行性，证明智能手表/智能手机可以提供关于个体功能状态的长期、相关的临床数据。我们描述了该系统的基本考虑因素，以便感兴趣的组织可以根据自己的需求调整和扩展我们的方法。最后，我们提供了一个潜在的议程来指导未来系统的发展。
