Smart Environment Technology for Longitudinal Behavior Analysis and Intervention (CASAS/HH)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01782157
Recruitment Status : Unknown
Verified December 2015 by Washington State University.
Recruitment status was:  Recruiting
First Posted : February 1, 2013
Last Update Posted : December 11, 2015
National Institute for Biomedical Imaging and Bioengineering (NIBIB)
Information provided by (Responsible Party):
Washington State University

Brief Summary:
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.

Condition or disease

Detailed Description:
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.

Study Type : Observational
Estimated Enrollment : 42 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Smart Environment Technology for Longitudinal Behavior Analysis and Intervention
Study Start Date : January 2013
Estimated Primary Completion Date : December 2017
Estimated Study Completion Date : December 2017

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Dementia
U.S. FDA Resources

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

Primary Outcome Measures :
  1. Change from Baseline in Clinical Dementia Rating [ Time Frame: 24 months ]

Secondary Outcome Measures :
  1. Change from Baseline in Amount of Caregiver Assistance [ Time Frame: 24 months ]

Information from the National Library of Medicine

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Ages Eligible for Study:   75 Years and older   (Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Participants are older adults age 75+ who are currently living independently.

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)

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT01782157

Contact: Maureen Schmitter-Edgecombe, PhD 509-335-3587
Contact: Diane Cook, PhD 509-335-4985

United States, Washington
Horizon House Recruiting
Seattle, Washington, United States, 98101
Contact: Lauri Warfield-Larson    206-382-5460   
Moran Vista Senior Living Recruiting
Spokane, Washington, United States, 99223
Contact: Rachel Jensen    509-343-2714      
Rockwood Retirement Communities Recruiting
Spokane, Washington, United States, 99223
Contact: Monica Wales    509-536-6687      
Sponsors and Collaborators
Washington State University
National Institute for Biomedical Imaging and Bioengineering (NIBIB)
Principal Investigator: Diane Cook, PhD Washington State University

Responsible Party: Washington State University Identifier: NCT01782157     History of Changes
Other Study ID Numbers: R01EB015853-01A1 ( U.S. NIH Grant/Contract )
R01EB015853-01A1 ( U.S. NIH Grant/Contract )
First Posted: February 1, 2013    Key Record Dates
Last Update Posted: December 11, 2015
Last Verified: December 2015

Keywords provided by Washington State University:

Additional relevant MeSH terms:
Brain Diseases
Central Nervous System Diseases
Nervous System Diseases
Neurocognitive Disorders
Mental Disorders