Aging Clinical Trial
— Senior LivingOfficial title:
Enhancing Cognitive Control Abilities Using Mobile Technology in a Senior Living Community
Verified date | September 2023 |
Source | University of California, San Francisco |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The goal of this study is to test the feasibility of launching a personalized digital health assessment and remediation program for the older adults in senior living communities based upon an initial characterization of these abilities. Evidence of feasibility here using these unique methodological approaches would provide empirical evidence supporting the basis for a larger-scale implementation of such digital health technologies into less controlled senior settings.
Status | Completed |
Enrollment | 19 |
Est. completion date | December 1, 2022 |
Est. primary completion date | October 1, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 50 Years and older |
Eligibility | Inclusion Criteria: - Must be living at a Senior Living Community - have own iPad and/or smartphone, - native-English speaker. Participation across a spectrum of cognitive abilities is desired for this study, specifically for older adults in a community setting. Exclusion Criteria: - Do not have any physical or cognitive limitations that would clearly prevent them from utilizing these applications as intended |
Country | Name | City | State |
---|---|---|---|
United States | UC San Francisco | San Francisco | California |
Lead Sponsor | Collaborator |
---|---|
University of California, San Francisco | National Institute on Aging (NIA) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Mean Change on Adaptive Cognitive Evaluation (ACE) from Baseline at 6 weeks | ACE is a custom mobile cognitive health assessment battery that presents paradigms typically used in standard cognitive neuroscience laboratories. Here the investigators will assess a measure of (1) Attention (2) Working memory, and (3) Goal management in the ACE software. We will assess response time, accuracy, and response time variability in each case, with faster/more accurate/less variable performance being indicative of improved cognitive control. | At Baseline and post intervention at the 6 week mark | |
Secondary | Mean Change on Everyday Cognition Scale (ECog) from Baseline at 6 weeks | The Everyday Cognition Scale (ECog) measures the ability to perform everyday tasks that demand memory, language, visuospatial abilities, planning, organization, and divided attention. The ECog consists of a global and domain scores for each of the previously described categories, and is scored as follows: 1= better or no change compared to 10 years earlier, 2= questionable/occasionally worse compared to 10 years earlier, 3= consistently a little worse compared to 10 years earlier, 4= consistently much worse compared to 10 years earlier. Thus, the lower the overall score is on this measure at both the global and domain score level, the better one is performing with respect to their cognition. | At Baseline and post intervention at the 6 week mark | |
Secondary | Mean Change on Cognitive Failures Questionnaire (CFQ) from Baseline at 6 weeks | The Cognitive Failures Questionnaire (CFQ) assesses participant distractibility. The CFQ score ranges from 0 to 100, with the lower the overall score is on this measure, the better one is performing with respect to their cognition. | At Baseline and post intervention at the 6 week mark | |
Secondary | Mean Change on General health and well-being (SF-36) from Baseline at 6 weeks | The general health and well-being (SF-36) score assesses participant health. The SF-36 score ranges from 0 to 100. The higher the overall score is on this measure, the better one is performing with respect to their health and well-being. | At Baseline and post intervention at the 6 week mark |
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