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Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
Published on: January 24, 2020
Demographic corrections for the modified telephone interview for cognitive status
Kathryn Dennett1, Danielle Tometich, Kevin Duff
1a Department of Neurology , University of Utah , Salt Lake City , UT , USA.
The Clinical Neuropsychologist
|June 18, 2013
Summary
The modified Telephone Interview for Cognitive Status (mTICS) needs demographic corrections for accurate cognitive screening. New regression equations incorporating age, education, and cognitive factors improve mTICS score prediction in older adults.
Area of Science:
- Gerontology
- Neuropsychology
- Cognitive Assessment
Background:
- The modified Telephone Interview for Cognitive Status (mTICS) is increasingly used for cognitive screening.
- Current mTICS application lacks demographic corrections, potentially limiting accuracy.
- Accurate cognitive assessment is crucial for identifying cognitive status in older adults.
Purpose of the Study:
- To develop and validate demographic corrections for the mTICS.
- To enhance the predictive accuracy of mTICS scores in older adults.
- To improve the clinical utility of telephone-based cognitive screening.
Main Methods:
- Collected demographic data, mTICS scores, and neuropsychological battery results from 274 community-dwelling older adults.
- Included participants with intact cognition or mild cognitive impairment.
- Utilized regression analyses to identify predictors of mTICS scores.
Main Results:
- Age and education significantly predicted mTICS total scores.
- Premorbid intellect and depression further enhanced the prediction accuracy of mTICS scores.
- These findings were consistent in a subgroup of cognitively intact individuals.
Conclusions:
- Demographic and cognitive factors significantly influence mTICS performance.
- Incorporating these factors into regression equations improves mTICS score interpretation.
- These validated corrections enable more precise cognitive status prediction using telephone screening.

