May 14, 2024
Implementation outcomes for agitation detection technologies in people with dementia: A systematic review protocol
- Lorna Smith1,
- Nicolas Farina1,
- Sube Banerjee2
- 1University of Plymouth;
- 2University of Nottingham
Protocol Citation: Lorna Smith, Nicolas Farina, Sube Banerjee 2024. Implementation outcomes for agitation detection technologies in people with dementia: A systematic review protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.14egn67nyl5d/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: May 07, 2024
Last Modified: May 14, 2024
Protocol Integer ID: 99399
Keywords: Agitation, detection, technology, dementia, Alzheimer’s, implementation outcomes, systematic review
Funders Acknowledgement:
EPSRC
Grant ID: EP/S027203/1
Abstract
Experiencing agitation can be particularly distressing for people living with dementia and their caregivers. Using technologies to automatically detect agitation can help monitor and intervene agitation occurrences. This systematic review aims to explore the early-stage implementation outcomes related to the use of agitation detection technologies, including video, wearables and multimodal. By adopting a taxonomy of implementation outcomes including acceptability, adoption, feasibility, fidelity, and implementation cost, this review seeks to provide insights crucial for real-world adoption of such technologies for people with dementia. Systematic searches will be conducted in the following databases; SCOPUS, PubMed, PsychINFO, IEEEXplore and CINAHL Plus. Expected results include qualitative themes and quantitative data related to these outcomes, obtained from the perspectives of the people with dementia, their caregivers, and organisational settings such as care homes. The review protocol outlines a comprehensive methodology for data synthesis, including critical appraisal and data extraction processes, to provide a nuanced understanding of the potential challenges and benefits associated with implementing agitation detection technologies in this population.
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