Digital Tools to Support Healthcare Decision Making for Older Adults

This study is testing a digital support tool, called SideKick, which is designed to help older adults manage their healthcare, especially those with Mild Cognitive Impairment (MCI). The tool aims to assist with tasks like finding support services, managing healthcare finances, and using Medicare.gov. Researchers want to see how useful and easy to use this tool is for people aged 60 and older. To join, you need to be at least 60, speak English, have basic internet skills (like using Amazon or Google), and have at least a 6th-grade reading level. The study is looking for 120 participants. The current recruitment status is unclear.

Study design
This is a pilot randomized controlled trial (RCT) involving 120 participants. It is an interventional study, meaning participants will receive a specific intervention.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
The primary outcomes, perceived system usefulness and performance accuracy, are measured immediately after completing a task performance session.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07485725

Digital Tools to Support Healthcare Decision Making

Recruiting
NAAges 60+InterventionalTreatment
Weill Medical College of Cornell University
~120 participants
Updated 2026-07-08 on ClinicalTrials.gov
What's tested:Project 3, Phase 2: Clinical Trial

At a glance

Recruiting sites
2 of 3 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Project 3, Phase 2: Mean Perceived System Usefulness
Measured over Immediately following completion of the task performance session
+1 more outcome measured
Mild Cognitive Impairment

NCT07485725

Where you'd take part

This study runs at 3 sites. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • University of Illinois Urbana-Champaign

    Champaign, Illinoisstudy coordinator listed

    Recruiting

  • Weill Cornell Medicine

    New York, New Yorkstudy coordinator listed

    Recruiting

  • Florida State University

    Tallahassee, Floridano site contact published

    Withdrawn

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

  • Sara J Czaja, PhD · PRINCIPAL_INVESTIGATOR · Weill Medical College of Cornell University

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Eligibility criteria

Inclusion

Some internet proficiency is required; participants will need to answer Yes to the following:
Can you use the Internet to access a website, for example, amazon.com?
Can you use search engines like Google to search for information on the Internet?
English speaking.
6th grade literacy.
Aged 60 or older.
TICS-m with a score between 22-37 for MCI and \>37 for normal.
Able to read from a newspaper.

Exclusion

blindness
deafness (inability to engage in telephone screening due to hearing difficulties)
terminal illness
severe motor impairments (e.g., severe tremors or debilitating arthritis in the hands),
TICS-m \<22.
All Phase 1 study participants (interview and observational study): have you ever participated in a study that interviewed you about your experience with Medicare or asked you to search for Medicare information?
  • Project 3, Phase 2: Mean Perceived System UsefulnessImmediately following completion of the task performance session

    Participants' perception of the usefulness of the system with 7 items with 3 subscales, included workload, trust, and usability. The Workload subscale will be computed from the average of a. the mental effort and b. the physical effort responses. Average c,d,e for the trust scale, and average f,g for a usability scale. Higher scores indicated higher workload, higher trust, and higher usability.

  • Project 3, Phase 2: Sum of Performance AccuracyImmediately following completion of the task performance session

    Accuracy will be evaluated based on whether the participants provided the accurate answer for each query (0=incorrect and 1=correct). Accuracy is summed across 12 queries with possible scores ranging from 0-12, higher scores indicate higher accuracy.