Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
Big Data Institute, University of Oxford, Oxford, UK.
Evid Based Ment Health. 2018 May;21(2):67-71. doi: 10.1136/eb-2018-102890. Epub 2018 Apr 20.
Dementia is the most widespread form of neurodegenerative disorder and is associated with an immense societal and personal cost. Prevalence of this disorder is projected to triple worldwide by 2050 leading to an urgent need to make advances in the efficiency of both its care and therapy research. Digital technologies are a rapidly advancing field that provide a previously unavailable opportunity to alleviate challenges faced by clinicians and researchers working in this area. This clinical review aimed to summarise currently available evidence on digital technologies that can be used to monitor cognition. We identified a range of pervasive digital systems, such as smartphones, smartwatches and smart homes, to assess and assist elderly demented, prodromal and preclinical populations. Generally, the studies reported good level of agreement between the digital measures and the constructs they aimed to measure. However, most of the systems are still only in the initial stages of development with limited data on acceptability in patients. Although it is clear that the use of digital technology to monitor and support the cognitive domains affected by dementia is a promising area of development, additional research validating the efficacy, utility and cost-effectiveness of these systems in patient populations is needed.
痴呆症是最普遍的神经退行性疾病形式，与巨大的社会和个人成本相关。预计到 2050 年，这种疾病的患病率将在全球范围内增加两倍，这就迫切需要提高其护理和治疗研究的效率。数字技术是一个快速发展的领域，为缓解临床医生和研究人员在该领域面临的挑战提供了以前无法获得的机会。本临床综述旨在总结目前可用于监测认知的数字技术的现有证据。我们确定了一系列普遍存在的数字系统，如智能手机、智能手表和智能家居，以评估和帮助老年痴呆、前驱和临床前人群。一般来说，这些研究报告了数字测量与它们试图测量的结构之间具有良好的一致性水平。然而，大多数系统仍处于初始开发阶段，关于患者可接受性的数据有限。尽管使用数字技术监测和支持受痴呆影响的认知领域是一个很有前途的发展领域，但需要进一步研究来验证这些系统在患者群体中的疗效、实用性和成本效益。
