Validation of Claims Algorithms to Identify Alzheimer's Disease and Related Dementias.

ABSTRACT:

Background

Using billing data generated through health care delivery to identify individuals with dementia has become important in research. To inform tradeoffs between approaches, we tested the validity of different Medicare claims-based algorithms.

Methods

We included 5 784 Medicare-enrolled, Health and Retirement Study participants aged older than 65 years in 2012 clinically assessed for cognitive status over multiple waves and determined performance characteristics of different claims-based algorithms.

Results

Positive predictive value (PPV) of claims ranged from 53.8% to 70.3% and was highest using a revised algorithm and 1 year of observation. The tradeoff of greater PPV was lower sensitivity; sensitivity could be maximized using 3 years of observation. All algo

SUBMITTER: McCarthy EP 

PROVIDER: S-EPMC9159657 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature