弥合日落综合征研究的差距:未来多模式方法的范围审查和路线图。

Qianru Xu, Feng Vankee Lin, Yang Liu, Guoying Zhao
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引用次数: 0

摘要

目的:日落综合征(Sundown syndrome, SS)是一种以午后或傍晚症状恶化为特征的神经精神现象,主要发生在痴呆患者身上。通过系统地回顾以往的研究,本综述旨在(1)将传统的基于问卷的评估方法与先进的基于传感器的工具相结合;(2)提出一个多模式框架来指导未来的研究,以加强关键症状类别的风险识别、诊断、监测和治疗。方法:我们对Web of Science、PubMed、Medline、APA PsycInfo和IEEE explore进行了综合综述,以确定关于SS的研究。根据建立的范围综述指南,选择13篇综述论文和41篇实证研究,并基于传统的问卷调查和/或传感器测量方法进行分析。结果:我们发现了传统评估方法的主要局限性,并将SS症状分为五个领域:精神运动症状、认知和知觉障碍、情绪和情感症状、精神病、日常生活活动和日常生活工具活动中断。基于这些见解,我们提出了一个集成传感器技术的多模式平台,以增强风险识别、诊断、连续监测和治疗。结论:本研究通过综合前人研究,细化症状域,提出未来调查和干预的路线图,促进了对SS的认识。多模态传感器技术的集成有可能减轻护理人员的负担,加强患者护理,并能够更有效地管理老年人的SS和其他行为障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bridging Gaps in Sundown Syndrome Research: a Scoping Review and Roadmap for Future Multimodal Approaches.

Objective: Sundown syndrome (SS), or sundowning, is a neuropsychiatric phenomenon marked by the worsening of symptoms in the late afternoon or evening, primarily in individuals with dementia. By systematically examining previous studies, this scoping review aims to (1) bridge traditional questionnaire-based assessment methods with advanced sensor-based tools and (2) propose a multimodal framework to guide future research in enhancing risk identification, diagnosis, monitoring, and treatment across key symptom categories.

Method: We conducted a comprehensive review of Web of Science, PubMed, Medline, APA PsycInfo, and IEEE Xplore to identify studies on SS. Following established scoping review guidelines, 13 review papers and 41 empirical studies were selected and analyzed based on traditional questionnaire-based observation and/or sensor-based measurement methods.

Results: We identified key limitations in traditional assessment methods and classified SS symptoms into five domains: psychomotor symptoms, cognitive and perceptual disturbances, mood and affective symptoms, psychosis, and disruptions in activities of daily living and instrumental activities of daily living. Building on these insights, we proposed a multimodal platform integrating sensor technologies to enhance risk identification, diagnosis, continuous monitoring, and treatment.

Conclusions: This study advances the understanding of SS by synthesizing prior research, refining symptom domains, and proposing a roadmap for future investigation and intervention. The integration of multimodal sensor technologies holds the potential to reduce caregiver burden, enhance patient care, and enable more effective management of SS and other behavioral disturbances in older adults.

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