The goal for this project is to support the cognitive components of older adults' health-management activities through development of digital assistant technology tools tailored to three exemplar healthcare management task activities: accessing support services, managing healthcare finances, and using the health-management tools provided by Medicare.gov. This project will leverage the machine-intelligence expertise of the research investigators collaborators and the research investigators experience in developing and evaluating technologies for supporting the health and wellbeing needs of older adults to harness technology to provide cognitive support to aging adults, including those with Mild Cognitive Impairment (MCI) and lower SES. The project will be comprised of three phases.
Deployment of technology in healthcare and day-to- day activities is increasing and advances in technology such as artificial intelligence (AI) are increasingly aimed at supporting older adults. Yet, aging adults are often ignored in design, and robust research evaluating the usability, safety, and efficacy of these systems with older adults is limited. Even among older technology adopters, rapid changes in technology pose challenges in terms of the constant need for adaptation and continual learning. Further, there remains a lag in uptake among many older adult sub-groups, including ethnic minorities, older cohorts, those of lower socio-economic status, those living in a rural location, or with a cognitive impairment such as Mild Cognitive Impairment (MCI) or Alzheimer's Disease/Alzheimer's Disease Related Dementias (AD/ADRD). The goal of CREATE V is to harness the potential benefits and power of technology to maintain, support, and foster the cognitive, emotional, and physical health of aging adults to enhance independence, well-being, and quality of life. Given that age represents a significant risk factor for cognitive impairments such as MCI and AD/ADRD, and the criticality of cognition to everyday functioning, a thrust of the research investigators planned research is on using emerging technologies to help maintain cognitive health and provide support for those with cognitive impairments. CREATE V has a fresh vision, a focus on emerging technologies, expanded research teams, new populations such as those with cognitive impairments, and technological capabilities. Project 3: Phase 1 will use a multimethod approach across the three study sites to assess the demands and challenges facing diverse older adults in the performance of the three health- management activities. Techniques include structured focus groups of subject matter experts, cognitive task analysis of existing tools, and process tracing of older adults' task performance. In Phase 2, investigators will use the knowledge derived from Phase 1, together with an understanding of older adults' cognitive capabilities and limitations, and their needs and preferences, to conduct iterative design of the digital assistant tools and evaluate their effectiveness and perceived usability using older adults with and without cognitive impairments and diverse in technology skills. In Phase 3, investigators will do a comparative assessment of the digital assistant tools for the three health-management activities (4 problems in each domain) by randomizing a cross-site sample of 240 participants, with and without MCI, varying in age, ethnicity/race, SES, and technology experience, to novel tool and control conditions, assessing efficacy and usability of the novel tools. The project will yield important information on how best to design technology aids to provide cognitive support for health decision making. Project 3 record was originally listed under NCT05811338.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
600
An innovative intelligent decision tool for health decisions aims at providing health management support for older adults with and without MCI.
Florida State University
Tallahassee, Florida, United States
University of Illinois Urbana-Champaign
Champaign, Illinois, United States
Weill Cornell Medicine
New York, New York, United States
Project 3, Phase 1: Qualitative interview assessment regarding Healthcare Challenges
Analysis of interview transcripts will identify common themes that will be the target of technology-based support. The general script for interviews with older adults will start with a) demographics and medical history; (b) health management strategies - current approaches for monitoring and managing chronic conditions and maintaining general wellness; (c) current use, awareness of, openness to, and concerns about technologies for health management; (d) general challenges experienced and barriers to successful health management. Investigators will then have sections of the interview script tailored to the three activity categories: access to services; financial health management, and Medicare utilization.
Time frame: During one-time condition session at Baseline Assessment
Project 3, Phase 3: Mixed-method assessment of usability challenges assessed using the Usability Metric for User Experience (UMUX-LITE)
User testing will have participants "think aloud" as they solve healthcare problems, and data will be coded for frustration and specific challenges experienced. The investigators will also use classic usability measures, for example, UMUX-LITE. The Usability Metric for User Experience (UMUX-Lite) is a two-item Likert scale used for the subjective assessment of an application's perceived usability. On a 7 point scale, with 0 being strongly disagree and 6 being strongly agree, higher scores are reflective of a greater satisfaction with the system.
Time frame: During one-time condition session at Baseline Assessment
Project 3, Phase 3: Comprehension and Decision Making Accuracy
For hypothetical healthcare challenges participants will be presented with, they will afterward be tested on their comprehension of important terms, and their decision-making accuracy will be evaluated, for participants with and without access to novel technology tools developed as part of this project. The comprehension and decision making accuracy measure is to be developed based on projects 1 and 2 of the study.
Time frame: During one-time condition session at Baseline Assessment
Project 3, Phase 3: Comprehension and Decision Making Tool Usability
The Comprehension and Decision making tool will measure participants' perception of technology-based intervention ease of use and usefulness. The Comprehension and Decision making tool measure is to be developed based on projects 1 and 2 of the study.
Time frame: During one-time condition session at Baseline Assessment
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