Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT04852601 |
Other study ID # |
R01AG069762 |
Secondary ID |
|
Status |
Recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
August 25, 2022 |
Est. completion date |
May 2025 |
Study information
Verified date |
November 2023 |
Source |
Northwestern University |
Contact |
Michael S Wolf, PhD MPH |
Phone |
312-503-5592 |
Email |
mswolf[@]northwestern.edu |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Our study objective is to widely implement and evaluate a user-centered, scalable, electronic
health record (EHR)-linked strategy for the routine detection of cognitive decline among
diverse primary care settings. This strategy, called ToolboxDetect, will provide an efficient
and sensitive cognitive screen that can be easily implemented in everyday clinical settings,
and is responsive to patient, family, and caregiver concerns for potential symptoms of
cognitive decline (CD) and cognitive impairment (CI).
Description:
Our study objective is to widely implement and evaluate a user-centered, scalable, electronic
health record (EHR)-linked strategy for the routine detection of cognitive decline among
diverse primary care settings. We will conduct a large-scale, primary care
practice-randomized trial to implement and comprehensively evaluate ToolboxDetect as a
standard of care with AWVs, linked to an EHR (Epic). Diverse, academic and community settings
are included to optimize future dissemination efforts.
ToolboxDetect is an iPad-based, self-administered assessment that leverages two well
validated measures from the NIH Toolbox Cognition Battery: Dimensional Change Card Sorting
(for executive function) and the Picture Sequence Memory (for episodic memory). It takes
approximately 7-8 minutes to administer, and for practices randomized to the ToolboxDetect
arm, this will be used as the practice standard to fulfill the requirement for cognitive
testing as part of the Medicare Annual Wellness Visit (AWV).
The aims of our investigation are to:
1. Evaluate the effectiveness of ToolboxDetect, compared to enhanced usual care, to promote
timely detection of cognitive decline and its care management.
2. Disseminate and implement ToolboxDetect among a large Federally Qualified Health Center
Network and assess its feasibility and acceptability for use;
3. Investigate the fidelity of ToolboxDetect, and identify any patient, caregiver,
healthcare provider and/or system barriers to its optimal, sustained implementation;
4. Determine costs associated with implementing ToolboxDetect from a primary care
perspective.