Supporting People with Dementia During Night Time - The NOCTURNAL (Night Optimised Care Technology...
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Supporting People with Dementia During Night Time
The NOCTURNAL (Night Optimised Care Technology for UseRs Needing Assisted Lifestyle) Project
Maurice Mulvenna, University of Ulster
29 November 2010, Coventry
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Outline
• Background • Introduction to the project • Objectives, approach and methodology • Person-centred approach • Findings • Conclusions
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Fold & Telehealthcare
• Provide lower cost – easily accessed – always on – telehealthcare services
• Position telehealthcare services as front-line preventative and assessment services as well as real time life critical services supporting and supported by community networks
• Monitor and enable intervention within the home and by the client prior to escalation outside the home requiring intervention by others
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Research Impetus
• Ageing population • Assisted technology used to improve the
quality of life for older people • Day time support for people with dementia • Limited activity on technologies that
provide night time support for people with dementia
• Lack of service
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NOCTURNAL Project
• Period: October 2008 - September 2011 • Funding Body: TSB/EPSRC, UK • Partners:
– Fold Housing Association (one of the leading telecare service providers throughout the UK and Ireland, providing telecare services to around 20,000 households and supporting 100,000 carers through handling around 1,000 calls a day)
– University of Ulster • School of Computing and Mathematics • School of Life Sciences
– Northern Health and Social Care Trust
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Research objectives
• NOCTURNAL is designed to address the needs of people at the early stages of dementia, specifically to provide therapeutic support and guidance to this group of people during the hours of darkness
• Broad Objectives: – to provide new technological capabilities that
support sophisticated service offerings – investigation of the needs of people with
dementia at night time
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Research approach, methodology
• NOCTURNAL will – Utilise technology which will largely be
invisible to the users, but will empower the carer. It will adopt appropriate assistive technologies from daytime usage
– Provide lighting guidance to assist with the trip from bedroom to toilet (and back!) during the night
– Offer therapeutic interventions using music and familiar images of loved ones at bedside device
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Research approach, methodology
• NOCTURNAL system – components – Motion monitoring devices – Bedside audio/video system – Web-based interface and DSS – Database and intelligent data analysis tools
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Research approach, methodology
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Person Centred Application
• Requirements – Promote independence, dignity and choice – Maximise social inclusion – Provide lower level information and support
services • Expected outcomes
– Expanded portfolio of service interventions for persons with dementia based on assessed need
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Lifestyle Monitoring informing Service User Needs
• Evidence of night time activity but no memory of it.
• Unexplained wandering and unable to return home.
• Puts walking aid at front door hoping that this will stop her leaving the house.
• Aware of memory loss but wants to remain at home.
• Prone to falling • Goes into the kitchen but can’t remember
why.
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Developing Solutions • Understanding and interpreting the data. • What can we do to guide and prevent an
incident • How can care giver participate in the
intervention/care plan? • How can we adapt the system to signal
change? • Who needs to know what? • The role of the response centre
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Developing Solutions
• Sleep measurements variables – Quantity of sleep – Quality of sleep – Rhythm of sleep
• Sleep Events detection • Visualisation
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Detection and visualisation of sleep patterns
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Trends
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Conclusions and outlook
• NOCTURNAL aims to work closely with people who have dementia and their carers to develop a system based on their needs
• The solution may provide lighting guidance and therapeutic intervention, all of which have merit in the hours of darkness
• NOCTURNAL will seek an ambient solution, using tried, tested and familiar technology where possible
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Thanks & Acknowledgements
• This research is supported by a research grant from the Technology Strategy Board and Engineering and Physical Sciences Research Council, UK (TS/G002452/1).