Intelligent Decision Support Tool for Mild Cognitive Impairment
What You Need to Know Before You Apply
What is the purpose of this trial?
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.
Who Is on the Research Team?
Sara J Czaja, PhD
Principal Investigator
Weill Medical College of Cornell University
Are You a Good Fit for This Trial?
Inclusion Criteria
Timeline for a Trial Participant
Phase 1: Problem Space Specification and Task Selection
Participants engage in structured interviews to assess healthcare management challenges and needs.
Phase 2: Development of Digital Assistant Tools
Iterative design and evaluation of digital assistant tools based on participant feedback.
Phase 3: Comparative Assessment of Digital Assistant Tools
Participants use and evaluate digital assistant tools, with assessments of usability and efficacy.
Follow-up
Participants are monitored for feedback on tool usability and cognitive support effectiveness.
What Are the Treatments Tested in This Trial?
Interventions
- Project 3, Phase 3: Intelligent Decision Support Tool
How Is the Trial Designed?
4
Treatment groups
Experimental Treatment
Active Control
Participants in the DATA condition, instead of access to a generic digital assistant, will have DATA at their disposal to solve the queries and will be encouraged to use it as the primary resource. Qualitative data on how they use this tool, in isolation and in conjunction with other sources of information, will be collected. Following completion of the problems, as in Phase 2, measures of DATA usability will be collected including usefulness and comprehension associated with each tool, perceived mental workload, and usability with an efficient, two-item test based on the widely used System Usability Scale: UMUX-LITE). The investigators will then conduct an audio-recorded semi-structured exit interview about various perceptions participants had regarding the challenges associated with successfully solving the health-management problems.
Both the subject matter experts and older adult participants will participate in individual structured interviews for each activity category, 1.5 - 2 hours in length. This qualitative data will provide rich contextualized information regarding the specific needs of older adults for access to services, financial health management, and Medicare.gov services utilization. This data will be used to identify current barriers and facilitators to successful healthcare management that could be targeted by technology solutions and/obtain details of the challenges that are common in each activity category.
The study includes one session that will last approximately 2 - 3 hours. The study involves interactions with digital assistants developed by the research team, the participants will answer structured interview questions regarding their experiences using the system. The researchers will assess the participants' comments along dimensions such as type of information requested, preference for format of information, points of confusion, and likes and dislikes of features, which will form the basis for a prioritized list of features/functions to be modified for the next prototype iteration.
Participants will have access to a generic, non-adapted voice assistant available on a provided tablet. The experimenter will use a standard script that allows for guidance to participants in searching for information relevant to the problems. Participants will indicate when they are ready to move on to the next problem, which will be followed by their assessment of the confidence they have in having solved the problem, their comprehension of the information associated with the problem, their assessment of the usefulness of the available information, and the perceived mental workload they experienced in solving the problem. Investigators will track, code, and analyze participants' online interactions with any websites they use. For each of the three task activity domains, overall performance scores will be computed, as will performance scores for the simpler and more complex problems.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Weill Medical College of Cornell University
Lead Sponsor
National Institute on Aging (NIA)
Collaborator
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