针对阿尔茨海默病和相关痴呆症的数字健康技术:景观分析和社区协作努力的初步结果
S A Lott1, E Streel, S L Bachman
1Sarah Averill Lott, Digital Medicine Society (DiMe), Boston, MA, USA, sarah.lott@dimesociety.org, 970-408-0780.
The journal of prevention of Alzheimer's disease
|October 1, 2024
概括
数字健康技术有助于痴呆症研究和临床护理. 一项审查确定了针对阿尔茨海默病和相关痴呆症的106种工具,重点关注神经认知,体力活动和睡眠.
科学领域:
- 数字健康数字健康
- 神经科学是一个神经科学.
- 医疗技术 医疗技术 医学技术
背景情况:
- 数字健康技术为痴呆症研究和临床实践提供了显著的好处.
- 对当前的技术环境的全面了解对于推进这些工具至关重要.
研究的目的:
- 对阿尔茨海默病 (AD) 和相关痴呆症 (ADRD) 进行景观审查,确定数字健康技术.
- 支持这些技术在临床和研究环境中的开发和应用.
主要方法:
- 在PubMed,Embase和APA PsycInfo的系统文献搜索 (2003年5月至2023年5月).
- 包括同行评审的手稿,海报和106个数字健康技术的监管文件.
- 通过社区外展识别技术.
主要成果:
- 确定了106种数字健康技术,用于对不同人群和疾病严重程度的ADRD评估.
- 非可穿戴技术 (61%) 和可穿戴传感器 (32%) 是最常见的.
- 神经认知 (最常见),身体活动和睡眠是关键的评估领域,在69%的证据中报告了临床验证.
结论:
- 本综述为ADRD评估提供了数字健康技术的景观概述.
- 这里展示了一个活着的技术图书馆,以使临床和研究社区了解现场发展的最新情况.
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