Farina Nicolas, Smith Lorna, Rajalingam Melissa, Banerjee Sube
Faculty of Health, University of Plymouth, Plymouth PL6 8BX, UK.
Brighton and Sussex Medical School, Brighton BN1 9PX, UK.
Geriatrics (Basel). 2025 May 24;10(3):70. doi: 10.3390/geriatrics10030070.
: Experiencing agitation can be particularly distressing for people with dementia and their caregivers. Using technologies to detect agitation can help monitor and intervene when agitation occurs, potentially reducing overall care and support needs. This systematic review aims to explore the implementation outcomes related to the use of agitation detection technologies in people with dementia. By adopting a taxonomy of implementation outcomes, this review seeks to provide insights valuable for the real-world adoption of such technologies for people with dementia. Searches were conducted in the following databases: SCOPUS, PubMed, PsychINFO, IEEEXplore, and CINAHL Plus. Included studies were required to have implemented, evaluated, or validated technology with the intention to detect agitation in people with dementia in real-time. On 14 May 2024, 1697 records were identified, and 19 were included in the review. The median sample size was 10, and around two-thirds of the records (n = 12, 63%) used 'multimodal' technologies for detecting agitation. Over half of the records (n = 10, 53%) were reporting from two studies. Across technologies, there was evidence of acceptability and feasibility, though there was a general absence of primary data related to implementation outcomes. There were, however, a number of technical issues and limitations that affected the fidelity and appropriateness of the technology, albeit not unique to people with dementia. There is a need for more empirical data on this topic to maximise uptake and adoption. Future research needs to ensure that the voice of the person with dementia is integrated within the evaluation process.
对于患有痴呆症的患者及其护理人员来说,经历躁动可能会特别痛苦。使用技术来检测躁动有助于在躁动发生时进行监测和干预,有可能减少总体护理和支持需求。本系统评价旨在探讨与在痴呆症患者中使用躁动检测技术相关的实施结果。通过采用实施结果分类法,本评价旨在为这类技术在痴呆症患者中的实际应用提供有价值的见解。检索在以下数据库中进行:SCOPUS、PubMed、PsychINFO、IEEEXplore和CINAHL Plus。纳入的研究要求已经实施、评估或验证了旨在实时检测痴呆症患者躁动的技术。2024年5月14日,共识别出1697条记录,其中19条被纳入本评价。样本量中位数为10,约三分之二的记录(n = 12,63%)使用“多模态”技术来检测躁动。超过一半的记录(n = 10,53%)来自两项研究。在各种技术中,有证据表明其具有可接受性和可行性,不过普遍缺乏与实施结果相关的原始数据。然而,存在一些技术问题和局限性,影响了技术的保真度和适用性,尽管这并非痴呆症患者所特有。需要更多关于这一主题的实证数据,以最大限度地提高采用率。未来的研究需要确保将痴呆症患者的声音纳入评估过程。