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Updated: Dec 4, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Using Medicare claims in identifying Alzheimer's disease and related dementias
Siddharth Jain1,2, Paul R Rosenbaum2,3, Joseph G Reiter1
1Center for Outcomes Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Introduction:
This study develops a measure of Alzheimer's disease and related dementias (ADRD) using Medicare claims.
Methods:
Validation resembles the approach of the American Psychological Association, including (1) content validity, (2) construct validity, and (3) predictive validity.
Results:
We found that four items-a Medicare claim recording ADRD 1 year ago, 2 years ago, 3 years ago, and a total stay of 6 months in a nursing home-exhibit a pattern of association consistent with a single underlying ADRD construct, and presence of any two of these four items predict a direct measure of cognitive function and also future claims for ADRD.
Discussion:
Our four items are internally consistent with the measurement of a single quantity. The presence of any two items do a better job than a single claim when predicting both a direct measure of cognitive function and future ADRD claims.
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