Systematic review of digital self‐management interventions in dementia care: Exploring the impact of wearable technology, smart homes, and mobile applications on patient outcomes

心理干预 痴呆 可穿戴计算机 可穿戴技术 自我管理 心理学 数字健康 远程医疗 远程医疗 老年学 医学 应用心理学 计算机科学 医疗保健 护理部 嵌入式系统 机器学习 病理 经济 疾病 经济增长
作者
Gary Cornelius
出处
期刊:Alzheimers & Dementia [Wiley]
卷期号:20 (S4)
标识
DOI:10.1002/alz.088900
摘要

Abstract Background The increasing significance of self‐management in dementia care arises from earlier diagnosis, improved understanding of patient‐modifiable factors, and advancements in treatments. The growing acceptance of patient care planning, especially self‐management, is further supported by health professionals and public health initiatives aimed at extending healthspan. Method This systematic review evaluates the efficacy of self‐management tools in enhancing the quality of life for adults with dementia and mitigating undesirable behaviours associated with the condition. A comprehensive search spanning ten years across nine databases was conducted, leading to the screening of over eight hundred articles. A highly relevant collection of studies, focusing on adults with dementia’s interaction with digital technologies, was selected. These studies were analysed using the Mixed Methods Appraisal Tool (MMAT) and a custom‐designed characterization table to address specific research questions. Result The review highlights that self‐management approaches such as aiding functional independence, wellbeing support, engagement, monitoring, and detecting abnormal behaviour are effective. The studies utilized various assessment methods including multimodal sensing, caregiver feedback, and machine‐based prompting. Effective use of smart home sensors, health watches, wearable technologies, cameras, Internet of Things (IoT) networks, robots, and other devices was also noted. Conclusion Technologies for self‐management notably enhance patient well‐being, with effective strategies including monitoring for abnormalities, socially assistive robots, machine prompting, sensory interventions, and cognitive support. Future research could improve by aligning interventions with individualized activities that promote well‐being, employing standardized outcome measures, and controlling for external factors such as known patient disease‐modifying factors.
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