Cognitive Screening Made Easy for PCPs
1 other identifier
observational
152
1 country
1
Brief Summary
In the United States and around the world, people are living longer lives. As the population ages, so does the number of older adults who may experience declines in memory, attention, reasoning, or other thinking skills. Some of these changes in cognition can be treated and reversed if caught early. Others can be slowed down and hopefully one day prevented. Unfortunately, people with cognitive decline or very mild dementia often are not recognized until late in the disease course when treatments are less effective. As the first health care professional most people reach out to about medical concerns, primary care providers play a critical role in detecting cognitive decline early. While many primary care providers conduct cognitive screening at Medicare Annual Wellness Visits and when patients voice concerns, 9 out of 10 would like more information about who to screen, which assessment tool to use, and what to say if screening is positive. Deciding who to screen with a brief cognitive assessment tool is a key part of the process because not everyone needs to be screened, and primary care providers already face time pressures to address the obvious and immediate concerns of their patients. The long-term goal of this project is to develop a risk assessment and cognitive screening tool that requires minimal time and effort from primary care providers or their staff and is sensitive to cognitive decline in older adults from diverse educational and racial/ethnic backgrounds. The tool will be integrated into electronic health record systems to make it easy for primary care providers and patients to see results. The specific aims of the first phase of the project are to modify an existing dementia risk screening index to identify older adults who are at high-risk for cognitive impairment, develop a brief cognitive assessment tool using tasks that are easy for older adults to perform yet are sensitive to cognitive decline, confirm their utility in 150 people with varying levels of cognitive abilities that have already been well defined, and test ways to integrate findings into the electronic health record. The specific aims for the second phase are to further test the effectiveness of the newly developed tool in 250 older adults receiving care in a primary care clinic, to find out from primary care providers using the tool how much they liked it and if it was useful and easy to use, and to integrate findings into multiple electronic health record systems. Findings from this project will fill a gap in the existing toolkit of primary care providers and will make screening for cognitive decline quick, easy, and effective.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Aug 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 13, 2021
CompletedFirst Submitted
Initial submission to the registry
September 22, 2021
CompletedFirst Posted
Study publicly available on registry
October 19, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 4, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2023
CompletedNovember 30, 2023
November 1, 2023
1.2 years
September 22, 2021
November 29, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Cognitive Performance score (under development)
Scored will be derived statistically from processing speed/working memory and speech tasks
10 minutes
Study Arms (3)
Cognitively Normal
No cognitive impairment, medically stable
Mild Cognitive Impairment
Meets NIA-AA criteria for MCI
Mild Dementia
Meets NIA-AA criteria for dementia
Interventions
Completion of a risk assessment cognitive screening app that includes working memory and voice-based tasks
Eligibility Criteria
Older adults
You may qualify if:
- Cognitively normal must have no cognitive concerns, be independent in all activities of daily living, be medically stable and willing to participate in the study, and fluent in English
- Mild cognitive impairment must have self or informant concern of cognitive decline, impairment in one or more cognitive domains on objective tests when possible, preservation of independence in activities of daily living, be medically stable and willing to participate in the study, and fluent in English
- Mild dementia must exhibit cognitive and/or behavioral symptoms that represent a decline from prior levels of functioning, interfere with the ability to function at work or in usual activities, are not explained by delirium or a major psychiatric disorder, and are evident in at least two cognitive/behavioral domains
You may not qualify if:
- Cognitively normal and mild cognitive impairment cannot have confounding medical or psychiatric conditions that could impact cognition, dementia of any etiology, or active substance abuse that could impact cognition or substance use disorder not in remission for at least 1 year.
- Dementia cannot have psychiatric conditions that could impact cognition or active substance abuse that could impact cognition or substance use disorder not in remission for at least 1 year.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Comprehensive Memory Center, UT Health Austin
Austin, Texas, 78712, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Robin C Hilsabeck, PhD
University of Texas at Austin Dell Medical School
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor of Neurology
Study Record Dates
First Submitted
September 22, 2021
First Posted
October 19, 2021
Study Start
August 13, 2021
Primary Completion
November 4, 2022
Study Completion
May 1, 2023
Last Updated
November 30, 2023
Record last verified: 2023-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, ANALYTIC CODE
- Time Frame
- One year after study completion
All research resources (e.g., methods, tools, materials) and other information developed in this project will be made readily available to the scientific community for non-profit research purposes. As per the proposal guidelines, we will publish all of our code and scripts for statistical analysis and machine learning development on a publically available GitHub repository. We will publish or provide complete recipes for all aspects of data collection and analysis once all references to patient information have been removed. We are committed to sharing our data, models, and software in a practical, user-friendly way; we strongly believe this is required to enable this research to reach its maximum potential. More broadly, the Dell Medical School at the University of Texas at Austin is committed to improving the quality and delivery of care through research discoveries that change clinical practice.