Ambient Independence Measures for Guiding Care Transitions

NCT02566239 | Completed Results

• 2 other identifiers: OHSU99445R01AG042191-03
• Study Type: interventional
• Target: 96
• Locations: 1 country
• Sites: 1

Brief Summary

The purpose of this study is to learn more about how to maintain health and independence for seniors by developing tools that collect data constantly from their home. Caregivers can then use this information to make decisions about their health care, such as when an individual may not be able to live independently any longer. Specific Aims of this study are:

• Aim 1: To identify trends in our data that predict health decline. To serve this aim, we want to test a number of tools that we have developed, such as in-home sensors, to determine which ones are best at measuring health risks in seniors. After collecting information for one year, we will look at which tools could be most useful to provide feedback to seniors and their communities about the process of aging.
• Aim 2: To develop a system for analyzing the data we collect and presenting a summary of the data to care teams.
• Aim 3: To validate our data and the computer-based tool in senior community settings.

Conditions

Aging

Keywords

aging; ORCATECH; Oregon Center for Aging & Technology; Life Lab; Living Lab; in-home assessment; technology and aging

Outcome Measures

Primary Outcomes (1)

• Number of Participants With Increased Need for Assistance During 3-year Study Period

  Self-reported endorsement to the question "In the past week, is someone newly assisting you with medication management, bathing, dressing or grooming?" OR permanent move from independent living to assisted living or to a health care center

  3 years

Study Arms (2)

Shared Data

EXPERIMENTAL

Share activity data with care team. Participants will have sensor technology installed in their home and caregivers will be provided with the data via our caregiver tool. This group will be newly enrolled as part of this study and randomized to either the shared data or non-shared data groups. Randomization will be stratified by continuing care retirement community site and include statistical balancing on demographic factors.

Other: Share activity data with care team

Non-shared Data

NO INTERVENTION

Participants will have sensor technology installed in their home and caregivers will NOT have data provided via our caregiver tool. This group will be newly enrolled as part of this study and randomized to either the shared data or non-shared data groups. Randomization will be stratified by continuing care retirement community site and include statistical balancing on demographic factors.

Interventions

Share activity data with care team OTHER

Share participant in-home activity data with retirement community care team.

Shared Data

Eligibility Criteria

• Age: 70 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Older Adult (65+)

You may qualify if:

• Live alone
• Live independently
• Computer user with internet

You may not qualify if:

• Dementia (CDR scale score \> 0.5)
• Medical illness that would limit physical participation (e.g. wheelchair use) or likely to lead to death within three years (e.g. terminal cancer)

Sponsors & Collaborators

• Oregon Health and Science University: lead
• National Institute on Aging (NIA): collaborator

Study Sites (1)

Oregon Health & Science University

Portland, Oregon, 97239, United States

Location

Related Publications (14)

• Kaye J, Reynolds C, Bowman M, Sharma N, Riley T, Golonka O, Lee J, Quinn C, Beattie Z, Austin J, Seelye A, Wild K, Mattek N. Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data. J Vis Exp. 2018 Jul 27;(137):56942. doi: 10.3791/56942.

  PMID: 30102277 BACKGROUND

• Seelye A, Mattek N, Sharma N, Riley T, Austin J, Wild K, Dodge HH, Lore E, Kaye J. Weekly observations of online survey metadata obtained through home computer use allow for detection of changes in everyday cognition before transition to mild cognitive impairment. Alzheimers Dement. 2018 Feb;14(2):187-194. doi: 10.1016/j.jalz.2017.07.756. Epub 2017 Oct 26.

  PMID: 29107052 BACKGROUND

• Austin J, Hollingshead K, Kaye J. Internet Searches and Their Relationship to Cognitive Function in Older Adults: Cross-Sectional Analysis. J Med Internet Res. 2017 Sep 6;19(9):e307. doi: 10.2196/jmir.7671.

  PMID: 28877864 BACKGROUND

• Seelye A, Mattek N, Sharma N, Witter P, Brenner A, Wild K, Dodge H, Kaye J. Passive Assessment of Routine Driving with Unobtrusive Sensors: A New Approach for Identifying and Monitoring Functional Level in Normal Aging and Mild Cognitive Impairment. J Alzheimers Dis. 2017;59(4):1427-1437. doi: 10.3233/JAD-170116.

  PMID: 28731434 BACKGROUND

• Austin J, Klein K, Mattek N, Kaye J. Variability in medication taking is associated with cognitive performance in nondemented older adults. Alzheimers Dement (Amst). 2017 Mar 6;6:210-213. doi: 10.1016/j.dadm.2017.02.003. eCollection 2017.

  PMID: 28349120 BACKGROUND

• Kaye J. Making Pervasive Computing Technology Pervasive for Health & Wellness in Aging. Public Policy Aging Rep. 2017;27(2):53-61. doi: 10.1093/ppar/prx005. Epub 2017 Jun 9. No abstract available.

  PMID: 31148911 BACKGROUND

• Austin J, Dodge HH, Riley T, Jacobs PG, Thielke S, Kaye J. A Smart-Home System to Unobtrusively and Continuously Assess Loneliness in Older Adults. IEEE J Transl Eng Health Med. 2016 Jun 10;4:2800311. doi: 10.1109/JTEHM.2016.2579638. eCollection 2016.

  PMID: 27574577 BACKGROUND

• Silbert LC, Dodge HH, Lahna D, Promjunyakul NO, Austin D, Mattek N, Erten-Lyons D, Kaye JA. Less Daily Computer Use is Related to Smaller Hippocampal Volumes in Cognitively Intact Elderly. J Alzheimers Dis. 2016;52(2):713-7. doi: 10.3233/JAD-160079.

  PMID: 26967228 BACKGROUND

• Seelye A, Hagler S, Mattek N, Howieson DB, Wild K, Dodge HH, Kaye JA. Computer mouse movement patterns: A potential marker of mild cognitive impairment. Alzheimers Dement (Amst). 2015 Dec 1;1(4):472-480. doi: 10.1016/j.dadm.2015.09.006. Epub 2015 Oct 19.

  PMID: 26878035 BACKGROUND

• Petersen J, Austin D, Mattek N, Kaye J. Time Out-of-Home and Cognitive, Physical, and Emotional Wellbeing of Older Adults: A Longitudinal Mixed Effects Model. PLoS One. 2015 Oct 5;10(10):e0139643. doi: 10.1371/journal.pone.0139643. eCollection 2015.

  PMID: 26437228 BACKGROUND

• Seelye A, Mattek N, Howieson DB, Austin D, Wild K, Dodge HH, Kaye JA. Embedded Online Questionnaire Measures Are Sensitive to Identifying Mild Cognitive Impairment. Alzheimer Dis Assoc Disord. 2016 Apr-Jun;30(2):152-9. doi: 10.1097/WAD.0000000000000100.

  PMID: 26191967 BACKGROUND

• Lyons BE, Austin D, Seelye A, Petersen J, Yeargers J, Riley T, Sharma N, Mattek N, Wild K, Dodge H, Kaye JA. Pervasive Computing Technologies to Continuously Assess Alzheimer's Disease Progression and Intervention Efficacy. Front Aging Neurosci. 2015 Jun 10;7:102. doi: 10.3389/fnagi.2015.00102. eCollection 2015.

  PMID: 26113819 BACKGROUND

• Seelye A, Mattek N, Howieson D, Riley T, Wild K, Kaye J. The impact of sleep on neuropsychological performance in cognitively intact older adults using a novel in-home sensor-based sleep assessment approach. Clin Neuropsychol. 2015;29(1):53-66. doi: 10.1080/13854046.2015.1005139. Epub 2015 Feb 2.

  PMID: 25642948 BACKGROUND

• Wild K, Sharma N, Mattek N, Karlawish J, Riley T, Kaye J. Application of In-Home Monitoring Data to Transition Decisions in Continuing Care Retirement Communities: Usability Study. J Med Internet Res. 2021 Jan 13;23(1):e18806. doi: 10.2196/18806.

  PMID: 33439144 RESULT

Results Point of Contact

• Title: Dr. Jeffrey Kaye
• Organization: Oregon Health & Science University

kaye@ohsu.edu

503 494 6695

Study Officials

• Jeffrey Kaye, MD

  Oregon Health and Science University

  PRINCIPAL INVESTIGATOR

Publication Agreements

• PI is Sponsor Employee: No
• Restrictive Agreement: No

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Layton Endowed Professor of Neurology & Biomedical Engineering, Director of ORCATECH

Study Record Dates

• First Submitted: August 14, 2015
• First Posted: October 2, 2015
• Study Start: March 1, 2014
• Primary Completion: August 12, 2019
• Study Completion: August 12, 2019
• Last Updated: August 4, 2021
• Results First Posted: August 4, 2021

Record last verified: 2021-07

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)