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2012 Grants - Nugent
TAUT: Technology Adoption and Prediction Tool for Everyday Technologies
Chris Nugent, Ph.D.
University of Ulster
Croleraine, United Kingdom
2012 Everyday Technologies for Alzheimer's Care
A growing area of research in Alzheimer’s disease involves the development of tools people with Alzheimer’s can use to help them maintain independent function. These tools range from audio systems that guide them, step-by- step, through the process of washing one’s hands to monitoring devices that can alert caregivers or nursing staff when the individual is at risk of falling. However, these tools are only beneficial if they are used. Understanding which factors contribute to the decision to use the tools and incorporating this information to predict which tools will be implemented is a relatively new research focus.
In preliminary studies, Chris Nugent, Ph.D., and colleagues have considered a range of predictor variables that influence technology adoption, including physiological factors, social factors, technology readiness, caregiver involvement and supplementary supporting mechanisms. In their current research, Dr. Nugent and his fellow investigators propose to validate and extend previous analytical studies of technology adoption among individuals with memory impairment. They will use information from the Cache County Study of Memory in Aging and the Utah Population Database. This information will include relevant variables such as functional, psychiatric, medical and pharmacological histories; dietary, social and lifestyle behaviors; and genealogical, medical, vital and demographic records.
The researchers intend to investigate intuitive and easily understood prediction models that health care providers can use to determine which technology tools are best suited for individuals with memory loss.