Ambient Independence Measures for Guiding Care Transitions (AIMs)

July 13, 2021 updated by: Jeffrey Kaye, Oregon Health and Science University

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.

Study Overview

Status

Completed

Conditions

Detailed Description

The proposed study has the potential to transform current research and clinical practice paradigms of prediction and decision making about independent living. This is accomplished by shifting from reliance on episodic, self-reported or crisis event provoked data to the use of ecologically valid multidimensional and continuous physiological, activity, and behavioral data. This approach has great potential to substantially improve care need and transition decisions. In achieving this goal several innovations beyond available systems and ongoing research are notable. First, grounded by prior studies associating static clinical measures to future placement outcomes, we now contemporaneously and continuously will acquire fundamental physiological measures (weight and walking speed), activity and behavioral measures, thereby improving our ability to proactively discriminate important health and functional change in real time. Using existing in-home activity data collected longitudinally in an aging population combined with simulated data from additional new sensed measures (phone use, medication taking, body composition) we will generate derived novel metrics - AIMs - to provide objective dynamic measures of activity and behaviors that are essential to maintaining independence. These metrics will be used to develop prediction algorithms based on documented transition outcomes from the original data set to be used by care teams (Aim 1). Working care transition professionals will be iteratively queried for the refinement of these objective measures (Aim 2). These care providers' expertise and understanding of key changes that impact independence is invaluable to identification of ambient independence measures that matter, and lead to meaningful care implementation pathways. The efficacy of the final set of measures chosen and built into a user friendly interface for the care team to use (Aim 2) will then be tested (Aim 3) by comparing independently living seniors in one of three comparison groups: 1) installed technology, from which AIMs data will be extracted and provided to the care transition team to aid in transition decisions; 2) installed technology, from which AIMs data will be extracted but will not be available to the transition team; and 3) no technology. We may have insufficient power to recognize significant change between the validation group and the control group. However, this primarily study is intended to test the feasibility of the approach, and to identify those types of AIMs data that are most useful for making transition decisions, which will be used to inform larger, more definitive studies in the future.

Study Type

Interventional

Enrollment (Actual)

96

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Oregon
      • Portland, Oregon, United States, 97239
        • Oregon Health & Science University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

70 years and older (Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Live alone
  • Live independently
  • Computer user with internet

Exclusion Criteria:

  • 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)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Shared Data

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.

Share participant in-home activity data with retirement community care team.
No Intervention: Non-shared Data

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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Participants With Increased Need for Assistance During 3-year Study Period
Time Frame: 3 years
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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jeffrey Kaye, MD, Oregon Health and Science University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2014

Primary Completion (Actual)

August 12, 2019

Study Completion (Actual)

August 12, 2019

Study Registration Dates

First Submitted

August 14, 2015

First Submitted That Met QC Criteria

September 30, 2015

First Posted (Estimate)

October 2, 2015

Study Record Updates

Last Update Posted (Actual)

August 4, 2021

Last Update Submitted That Met QC Criteria

July 13, 2021

Last Verified

July 1, 2021

More Information

Terms related to this study

Other Study ID Numbers

  • OHSU9944
  • 5R01AG042191-03 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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