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IIR 17-144 – HSR&D Study

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IIR 17-144
ORCATECH Collaborative Aging (in Place) Research Using Technology
Lisa C Silbert MD
VA Portland Health Care System, Portland, OR
Portland, OR
Funding Period: October 2017 - May 2021

Regardless of age and throughout life, high value is placed on being independent. Unfortunately, as one ages, the ability to remain independent and in particular to age in place (AiP) or pursue one's life of choice becomes a risk laden venture, especially for those age 85+, a large and rapidly growing portion of the population. The ORCATECH Collaborative Aging (in Place) Research Using Technology (CART) program develops and validates an infrastructure for rapid and effective conduct of research utilizing technology to facilitate AiP. Our application fully aligns with the Funding Opportunity Announcement (FOA) call for the creation of a sustainable infrastructure for the AiP research community, ultimately fostering efficient recruitment of research participants, identification and qualification of useful and usable equipment and software, the conduct of research, and collection and pooling of data using a rapid and reliable data management system. Importantly, the proposed CART program will develop and validate its activities using a unique research team with over a decade of experience in the domain specific to aging and pervasive computing research deployed in the homes of hundreds of older adults.

The Overall Aims of this proposal are to:
1. Establish and implement the administration and operational infrastructure for CART.
2. Design and plan the illustrative study protocols for the final Demonstration Project (DP).
3. Design the infrastructure and data systems necessary for the illustrative study protocols needed for the final Demonstration Project.
4. Develop and iteratively refine the infrastructure based on initial design, study requirements, user-testing and iterative system deployments.
5. Develop, execute, then analyze and share the results of the Demonstration Project.

In years 1-3 we will apply a systems development life cycle approach with iterative user-centered design and technology and infrastructure creation. To ensure sustained use and ecological validity of the data, the design is as unobtrusive as possible for research participants, as well as technology agnostic. In year 4 the developed system will be assessed in a Demonstration Project with an original AiP hypothesis fundamental to CART research: whether the system created provides evidence for sustained independence. The innovative AiP methods will be introduced into 2 groups of 30 veteran homes and cars (60 total) and around 360 participants from four diverse senior populations total.

No preliminary findings have been determined. Please see "Status" for more details on related information.

The secure extensible data system for CART's multidimensional and hierarchical data will accommodate multiple, evolving data ontologies and schema. CART's Data Repository and communications plan will facilitate data and resource sharing of multiple users of different levels of sophistication ensuring the widest impact and dissemination. Several sustainability models will be evaluated, resulting in the high-impact research enterprise needed to create evidence for effective assessments and interventions to sustain health and independence for the growing aging population.


Journal Articles

  1. Nguyen MT, Mattek N, Woltjer R, Howieson D, Silbert L, Hofer S, Kaye J, Dodge H, Erten-Lyons D. Pathologies Underlying Longitudinal Cognitive Decline in the Oldest Old. Alzheimer disease and associated disorders. 2018 Oct 1; 32(4):265-269.

DRA: Aging, Older Veterans' Health and Care
DRE: TRL - Applied/Translational
Keywords: Practice Patterns/Trends
MeSH Terms: none

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