School of Pharmacy, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.
J Med Internet Res. 2023 Jul 25;25:e45658. doi: 10.2196/45658.
Subtle impairments in instrumental activities of daily living (IADLs) can be a key predictor of disease progression and are considered central to functional independence. Mild cognitive impairment (MCI) is a syndrome associated with significant changes in cognitive function and mild impairment in complex functional abilities. The early detection of functional decline through the identification of IADL impairments can aid early intervention strategies. Digital health technology is an objective method of capturing IADL-related behaviors. However, it is unclear how these IADL-related behaviors have been digitally assessed in the literature and what differences can be observed between MCI and normal aging.
This review aimed to identify the digital methods and metrics used to assess IADL-related behaviors in people with MCI and report any statistically significant differences in digital endpoints between MCI and normal aging and how these digital endpoints change over time.
A total of 16,099 articles were identified from 8 databases (CINAHL, Embase, MEDLINE, ProQuest, PsycINFO, PubMed, Web of Science, and Scopus), out of which 15 were included in this review. The included studies must have used continuous remote digital measures to assess IADL-related behaviors in adults characterized as having MCI by clinical diagnosis or assessment. This review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.
Ambient technology was the most commonly used digital method to assess IADL-related behaviors in the included studies (14/15, 93%), with passive infrared motion sensors (5/15, 33%) and contact sensors (5/15, 33%) being the most prevalent types of methods. Digital technologies were used to assess IADL-related behaviors across 5 domains: activities outside of the home, everyday technology use, household and personal management, medication management, and orientation. Other recognized domains-culturally specific tasks and socialization and communication-were not assessed. Of the 79 metrics recorded among 11 types of technologies, 65 (82%) were used only once. There were inconsistent findings around differences in digital IADL endpoints across the cognitive spectrum, with limited longitudinal assessment of how they changed over time.
Despite the broad range of metrics and methods used to digitally assess IADL-related behaviors in people with MCI, several IADLs relevant to functional decline were not studied. Measuring multiple IADL-related digital endpoints could offer more value than the measurement of discrete IADL outcomes alone to observe functional decline. Key recommendations include the development of suitable core metrics relevant to IADL-related behaviors that are based on clinically meaningful outcomes to aid the standardization and further validation of digital technologies against existing IADL measures. Increased longitudinal monitoring is necessary to capture changes in digital IADL endpoints over time in people with MCI.
PROSPERO International Prospective Register of Systematic Reviews CRD42022326861; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=326861.
工具性日常生活活动(IADLs)的细微损伤可能是疾病进展的关键预测因素,被认为是功能独立性的核心。轻度认知障碍(MCI)是一种与认知功能显著变化和复杂功能轻度损伤相关的综合征。通过识别 IADL 损伤来早期发现功能下降,可以帮助制定早期干预策略。数字健康技术是一种客观的方法,可以捕捉与 IADL 相关的行为。然而,目前尚不清楚文献中如何通过数字方式评估这些与 IADL 相关的行为,以及 MCI 和正常衰老之间有何差异。
本综述旨在确定用于评估 MCI 患者与 IADL 相关行为的数字方法和指标,并报告 MCI 和正常衰老之间在数字终点方面的任何统计学显著差异,以及这些数字终点如何随时间变化。
从 8 个数据库(CINAHL、Embase、MEDLINE、ProQuest、PsycINFO、PubMed、Web of Science 和 Scopus)中确定了 16099 篇文章,其中 15 篇被纳入本综述。纳入的研究必须使用连续的远程数字测量方法来评估临床诊断或评估为 MCI 的成年人的与 IADL 相关的行为。本综述按照 PRISMA(系统评价和荟萃分析的首选报告项目)指南进行。
环境技术是纳入研究中最常用于评估与 IADL 相关行为的数字方法(14/15,93%),被动红外运动传感器(5/15,33%)和接触传感器(5/15,33%)是最常见的方法类型。数字技术用于评估与 IADL 相关的行为,涵盖 5 个领域:家庭外活动、日常技术使用、家庭和个人管理、药物管理和定向。其他公认的领域——文化特定任务和社交与沟通——则没有被评估。在 11 种技术中记录的 79 个指标中,有 65 个(82%)仅使用过一次。在认知谱中,数字 IADL 终点的差异存在不一致的发现,且缺乏关于它们随时间变化的纵向评估。
尽管有多种用于评估 MCI 患者与 IADL 相关行为的数字方法和指标,但仍有一些与功能下降相关的 IADL 未被研究。与离散的 IADL 结果相比,衡量多个与 IADL 相关的数字终点可能更有价值,可以观察功能下降。主要建议包括制定与 IADL 相关行为相关的适当核心指标,这些指标基于有临床意义的结果,以帮助数字技术与现有 IADL 测量方法的标准化和进一步验证。在 MCI 患者中,需要进行更多的纵向监测,以捕捉数字 IADL 终点随时间的变化。
PROSPERO 国际前瞻性系统评价注册中心 CRD42022326861;https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=326861.