Department of Software Engineering, University of Engineering and Technology, Taxila, 47050, Pakistan.
Department of Computer Engineering, University of Engineering and Technology, Taxila, 47050, Pakistan.
Health Care Manag Sci. 2020 Jun;23(2):287-309. doi: 10.1007/s10729-019-09486-0. Epub 2019 Jun 20.
Assistive technology (AT) involvement in therapeutic treatment has provided simple and efficient healthcare solutions to people. Within a short span of time, mobile health (mHealth) has grown rapidly for assisting people living with a chronic disorder. This research paper presents the comprehensive study to identify and review existing mHealth dementia applications (apps), and also synthesize the evidence of using these applications in assisting people with dementia including Alzheimer's disease (AD) and their caregivers. Six electronic databases searched with the purpose of finding literature-based evidence. The search yielded 2818 research articles, with 29 meeting quantified inclusion and exclusion criteria. Six groups and their associated sub-groups emerged from the literature. The main groups are (1) activities of daily living (ADL) based cognitive training, (2) monitoring, (3) dementia screening, (4) reminiscence and socialization, (5) tracking, and (6) caregiver support. Moreover, two commercial mobile application stores i.e., Apple App Store (iOS) and Google Play Store (Android) explored with the intention of identifying the advantages and disadvantages of existing commercially available dementia and AD healthcare apps. From 678 apps, a total of 38 mobile apps qualified as per defined exclusion and inclusion criteria. The shortlisted commercial apps generally targeted different aspects of dementia as identified in research articles. This comprehensive study determined the feasibility of using mobile Health based applications for dementia including AD individuals and their caregivers regardless of limited available research, and these apps have capability to incorporate a variety of strategies and resources to dementia community care.
辅助技术(AT)在治疗中的应用为人们提供了简单而高效的医疗保健解决方案。在很短的时间内,移动医疗(mHealth)迅速发展,为患有慢性疾病的人提供帮助。本研究论文进行了全面的研究,以确定和审查现有的移动医疗痴呆症应用程序(Apps),并综合使用这些应用程序协助痴呆症患者(包括阿尔茨海默病(AD)患者及其护理人员)的证据。通过目的为寻找基于文献的证据而搜索了六个电子数据库。搜索共产生了 2818 篇研究文章,其中 29 篇符合量化的纳入和排除标准。从文献中得出了六个组及其相关子组。主要组包括(1)基于日常生活活动(ADL)的认知训练,(2)监测,(3)痴呆症筛查,(4)怀旧和社交,(5)跟踪,和(6)护理人员支持。此外,还探索了两个商业移动应用商店,即苹果应用商店(iOS)和谷歌应用商店(Android),旨在确定现有的商业可用痴呆症和 AD 医疗保健应用程序的优缺点。从 678 个应用程序中,共有 38 个移动应用程序符合定义的排除和纳入标准。入选的商业应用程序通常针对研究文章中确定的不同痴呆症方面。这项全面的研究确定了使用基于移动健康的应用程序为痴呆症患者(包括 AD 患者及其护理人员)提供服务的可行性,尽管研究有限,但这些应用程序有能力结合各种策略和资源为痴呆症社区护理提供服务。