TVN MindMerge University of Victoria · Purpose: Identify knowledge, attitudes and perceptions...
Transcript of TVN MindMerge University of Victoria · Purpose: Identify knowledge, attitudes and perceptions...
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TVN MindMergeUniversity of VictoriaNovember 10, 2015
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eHome iCare
Research team
Partners Home care context
Client profile
Care gap Current Projects
Framework
Analytics
Conclusions
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Debra Sheets, Ph.D., MN, FAANgeriatric nursing, caregivers
Cheryl Beach, Ph.D., PTdementia, technologies, homecare
Stuart MacDonald, Ph.D., neuropsychology, cognitive decline
Sandra Hundza, Ph.D., PTneuromechanics of mobility decline
Andrew Mitz, Ph.D., neurophysiology
Carl Asche, Ph.D.health economic & outcomes
Marc Klimstra, Ph.D.biomechanics of gait
Yvonne Coady, Ph.D.computer science. “big data” analytics
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Island Health
Home & Community Care
Office of Seniors Advocate (Voice of seniors and RAI analytics)
University of Victoria
CanAssist
SimpleC Companion
IBM Watson Big data
TELUS TELUS Health
Jintronics (Kinect)
X-IMU (inertial sensors) CareLink Advantage
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Our vision is to develop a suite of technologies that goes beyond monitoring and alerting caregivers. We want to also be able to:
• Predict when significant changes are likely to occur allowing for earlier assessment
• Prevent/Intervene to reduce adverse events.
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Island Health
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2000 2005 2010 2015 2020 2025 2030 2035
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Age 75+ Growth
65+ : 14% to 25% (2014-2020)
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Acute Care Home Care Residential Care
7
Supporting Clients & Family at Home
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2014 Island Health
Number 6,246
Average Age 82
Assistance with ADL (ADLs 1+) 42%
Moderate Cognitive Impairment (CPS 3+) 22%
Signs of Depression (DRS 3+) 18%
Alzheimer’s or dementia 40%
Fell last 90 days 38%
Live alone 47%
Dementia and live alone 14%8
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2014 Island Health
Caregiver distress, anger, depression 38%
2+ hospital stays last 90 days 4%
2+ Emergency visits last 90 days 6%
Risk of adverse events (MAPLe):
High, Very High (4) 56%
Behaviours (e.g. wandering) 18%
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8.1 million Canadians, 28% are caregivers of a chronically ill, disabled or aging family member or friend
Caregivers have higher levels of stress and poorer health
Increasing complexity of chronic care
Financial impact on family caregivers
Family caregiver support ratio is(Redfoot et al, 2013)
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8% of Canadians (2.2 million) received help or care at home
Unmet needs: 461,000 Canadians needed help or care that they didn’t receive.
Partially met: 331,000 did not receive all the help they needed.
Technology can fill the Care Gap if:▪ Caregiver friendly▪ Affordable▪ Accessible▪ Effective
Source: Turcotte, 2014
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ContinuousMobility & behaviorNon-contactNext gen wearableNatural language
PeriodicPsychometrics
Cognitive statusADL/RAI
Mobility & Health
Measurement burst
Health care
Client
Caregivers
Local storage
Informal Automated
Predictive analytics
Technology Model for Home Care
Model based
Cloud (private)
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Purpose: Identify knowledge, attitudes and perceptions towards use of technology in home care
Sample: home care clinicians (n=47)
Methods: online survey
Findings
Useful technologies: personal response, reminders, motion sensors, GPS
Benefits of use: earlier hospital discharge, live longer at home
Barriers to use: need cost subsidies, family available to respond to alerts
Next steps: Family caregiver and client interviews
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Purpose: integrates data from multiple sensors to provide a more predictive metric for adverse events or changes in health status
Sample: community dwelling older adults living with cognitive impairment
Methods: continuous and intermittant data across domains of health (e.g. daily activities, mobility, sleep)
Stages:
Pilot test in lab: develop metrics
Proof of concept: 4 home care clients
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Sensors
Bed PressureActivity SensorComputerGait Sensors (e.g. Infrared sensors)
Inertial Motion SensorEnvironmental Sensors (e.g. Contact Sensors)
Cloud Storage
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Technology to support caregiving
Effectors: SimpleC Companion
http://www.simplec.com/companion/
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Technology to support caregiving
Effectors: Island Health Wondering Deterrent Device
CanAssist Collaboration
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Collaborative Big Data Science
Big Data Modeling
Big Data Analytics
Big Access Management
DATA!
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“In a world where dementia is on the rise and caregivers are unavailable or unable to meet the needs of individuals with dementia, technology can and should play an important role”….
“Carefully designed technologies… can deliver person-centered, non-drug interventions to mitigate and manage disease symptoms, especially neuropsychological symptoms, thereby supporting and improving wellness and independence of individuals with dementia and their caregivers.”
Kerssens, C., Slatter, M. & Monterio, A. (2014). Managing Dementia Symptoms and Needs Using Technology. J Gerontological Nrsg, 40(7), p.20
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Powerful paradigm for translating continuous data into predictive tools.
Use “big data” to inform models that can predict pre-clinical changes that may allow early intervention to prevent, delay or mitigate declines in health and function.
Design technology systems to support caregivers by addressing practical issues (i.e. wandering, falls, cognitive declines)
Access to a large number of older home-dwelling adults and their health care records.
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For additional information:Debra Sheets, Ph.D., MSN, FAANSchool of Nursing, University of VictoriaE-mail: [email protected], Ph: (250) 853-3947
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This research was funded by a grant from the Technology Evaluation in the Elderly Network