Abstract
Objectives: To help promote early detection of cognitive impairment in primary care, MyCog Mobile was designed as a cognitive screener that can be self-administered remotely on a personal smartphone. We explore the potential utility of MyCog Mobile in primary care by comparing MyCog Mobile to a commonly used screener, Mini-Cog. Methods: A sample of 200 older adults 65+ years (mean age = 72.56 years), completed the Mini-Cog and MyCog Mobile, which includes 2 memory measures and 2 executive functioning measures. A logistic regression model was conducted to predict failing Mini-Cog scores (≤2) based on MyCog Mobile measures. Results: A total of 20 participants earned a Mini-Cog score ≤2. MyCog Mobile demonstrated an AUC of 0.83 (95% bootstrap CI [0.75, 0.95]), sensitivity of 0.76 (95% bootstrap CI [0.63, 0.97]), and specificity of.88 (95% bootstrap CI [0.63, 0.10]). The subtest Name Matching from MyFaces and MySorting were the only significant predictors of failed Mini-Cogs. Conclusions: MyCog Mobile demonstrated sensitivity and specificity to identify participants who failed the Mini-Cog, and may show promise as a screening tool for cognitive impairment in older adults. Further research is necessary to establish the clinical utility of MyCog Mobile in a larger sample using documented clinical diagnoses.
Original language | English (US) |
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Journal | Journal of Primary Care and Community Health |
Volume | 15 |
DOIs | |
State | Published - Jan 1 2024 |
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Institute on Aging (grant number: 1R01AG074245-01).
Keywords
- app-based assessment
- cognitive impairment
- cognitive screening
- older adults
- primary care
ASJC Scopus subject areas
- Community and Home Care
- Public Health, Environmental and Occupational Health