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Analysis of dementia in the US population using Medicare claims: Insights from linked survey and administrative claims data.


ABSTRACT: Introduction:Medicare claims data may be a rich data source for tracking population dementia rates. Insufficient understanding of completeness of diagnosis, and for whom, limits their use. Methods:We analyzed agreement in prevalent and incident dementia based on cognitive assessment from the Health and Retirement Study for persons with linked Medicare claims from 2000 to 2008 (N = 10,450 persons). Multinomial logistic regression identified sociodemographic factors associated with disagreement. Results:Survey-based cognitive tests and claims-based dementia diagnosis yielded equal prevalence estimates, yet only half were identified by both measures. Race and education were associated with disagreement. Eighty-five percent of respondents with incident dementia measured by cognitive decline received a diagnosis or died within the study period, with lower odds among blacks and Hispanics than among whites. Discussions:Claims data are valuable for tracking dementia in the US population and improve over time. Delayed diagnosis may underestimate rates within black and Hispanic populations.

SUBMITTER: Chen Y 

PROVIDER: S-EPMC6556828 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Analysis of dementia in the US population using Medicare claims: Insights from linked survey and administrative claims data.

Chen Yi Y   Tysinger Bryan B   Crimmins Eileen E   Zissimopoulos Julie M JM  

Alzheimer's & dementia (New York, N. Y.) 20190606


<h4>Introduction</h4>Medicare claims data may be a rich data source for tracking population dementia rates. Insufficient understanding of completeness of diagnosis, and for whom, limits their use.<h4>Methods</h4>We analyzed agreement in prevalent and incident dementia based on cognitive assessment from the Health and Retirement Study for persons with linked Medicare claims from 2000 to 2008 (N = 10,450 persons). Multinomial logistic regression identified sociodemographic factors associated with  ...[more]

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