Spokane, Washington 99223

  • Dementia

Purpose:

The world's population is aging and the resulting prevalence of chronic illnesses is a challenge that our society must address. The vision is to address this challenge by designing smart environment technologies that keep older adults functioning independently in their own homes as long as possible. Smart environments have been used as the basis of monitoring activities for residents with health conditions. However, there is currently a lack of large scale, longitudinal research to identify early markers of dementia and other health status changes and to predict functional decline. The objective of this project is to perform a 5-year longitudinal study of older adults performing daily activities in their own smart homes.


Study summary:

By tracking residents' daily behavior over a long period of time our intelligent software can perform automated functional assessment and identify trends that are indicators of acute health changes and slower progressive decline (e.g., dementia). By implementing prompt-based interventions that support functional independence and promote healthy lifestyle behaviors (e.g., social contact, exercise, regular sleep), the investigators can improve overall health and well-being. The investigators hypothesize that smart home technologies can be used to detect and predict functional change, to slow functional change and extend functional independence, and to improve quality of life in elderly individuals who are at risk of transitioning to mild cognitive impairment and to dementia. This hypothesis has been formulated on the basis of preliminary data produced by the applicants which supports the efficacy of using smart home technologies for both functional status assessment and for prompting the initiation and completion of activities in individuals with mild cognitive impairment and dementia. The rationale of the proposed work is that understanding the natural history of functional change between aging and dementia will lead to early prevention and proactive interventions that will slow functional change, thereby delaying nursing home placement and cost of care to society. The investigators plan to pursue the following specific aims: (1) Characterize the daily lifestyle of smart environment residents through minimal-supervision activity recognition and activity discovery, (2) Design software algorithms that detect trends in behavioral data, and (3) Evaluate the efficacy of activity-aware automated prompting technology for extending functional independence and improving quality of life. The proposed work is innovative because it will track a large number of individuals longitudinal in their own homes and determine whether this technology can be used to promote healthy lifestyle behaviors and detect health care changes that may lead to early interventions, improved quality of life, and decreased health care utilization. The project is significant because it will introduce new technologies for activity discovery and tracking that require minimal-supervision, contribute algorithms that predict cognitive decline and signal more acute health status change, and demonstrate for the first time that activity-aware automated prompting technologies can be used to support and/or slow functional change and to increase quality of life in elderly individuals.


Criteria:

Inclusion Criteria: - fluent in English - cognitively health adults and adults who meet criteria for Mild Cognitive Impairment (CDR score >= 0.5) Exclusion Criteria: - current or recent (past year) psychoactive substance abuse - history of cerebrovascular accidents - other known medical, neurological or psychiatric causes of cognitive dysfunction (Parkinson's schizophrenia, TBI)


Study is Available At:


Original ID:

R01EB015853-01A1


NCT ID:

NCT01782157


Secondary ID:

R01EB015853-01A1


Study Acronym:

CASAS/HH


Brief Title:

Smart Environment Technology for Longitudinal Behavior Analysis and Intervention


Official Title:

Smart Environment Technology for Longitudinal Behavior Analysis and Intervention


Overall Status:

Recruiting


Study Phase:

N/A


Genders:

Both


Minimum Age:

75 Years


Maximum Age:

N/A


Quick Facts

Healthy Volunteers
Oversight Has DMC
Study Is FDA Regulated
Study Is Section 801
Has Expanded Access

Study Source:

Washington State University


Oversight Authority:

United States: Institutional Review Board


Reasons Why Stopped:


Study Type:

Observational


Study Design:

Observational Model: Cohort, Time Perspective: Pro


Number of Arms:

0


Number of Groups:

2


Total Enrollment:

42


Enrollment Type:

Anticipated


Overall Contact Information

Official Name:Diane Cook, PhD
Principal Investigator
Washington State University
Primary Contact:Maureen Schmitter-Edgecombe, PhD
509-335-3587
schmitter-e@wsu.edu
Backup Contact:Diane Cook, PhD
509-335-4985
cook@eecs.wsu.edu

Study Dates

Start Date:January 2013
Completion Date:December 2017
Completion Type:Anticipated
Primary Completion Date:December 2017
Primary Completion Type:Anticipated
Verification Date:December 2015
Last Changed Date:December 9, 2015
First Received Date:December 18, 2012

Study Outcomes

Outcome Type:Primary Outcome
Measure:Change from Baseline in Clinical Dementia Rating
Time Frame:24 months
Safety Issues:False
Outcome Type:Secondary Outcome
Measure:Change from Baseline in Amount of Caregiver Assistance
Time Frame:24 months
Safety Issues:False

Study Interventions

There are no available Study Interventions

Study Arms

Study Arm Type:Other
Arm Name:Prompt intervention
Description:The prompt intervention group will receive context-aware text, audio, and video prompts to initiate specified activities of daily living.
Study Arm Type:Other
Arm Name:No prompt intervention
Description:The no prompt intervention will not receive any prompts to initiate activities of daily living.

Study Agencies

Agency Class:Other
Agency Type:Lead Sponsor
Agency Name:Washington State University
Agency Class:NIH
Agency Type:Collaborator
Agency Name:National Institute for Biomedical Imaging and Bioengineering (NIBIB)

Samples and Retentions

Study Population: Participants are older adults age 75+ who are currently living independently.
Sample Method:Non-Probability Sample

Study References

There are no available Study References

Data Source: ClinicalTrials.gov

Date Processed: September 24, 2021

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