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Racial disparities and temporal trends in dementia misdiagnosis risk in the United States.


ABSTRACT:

Introduction

Systematic disparities in misdiagnosis of dementia across racial/ethnic groups have implications for health disparities. We compared the risk of dementia under- and overdiagnosis in clinical settings across racial/ethnic groups from 2000 to 2010.

Methods

We linked fee-for-service Medicare claims to participants aged ≥70 from the nationally representative Health and Retirement Study. We classified dementia status using an algorithm with similar sensitivity and specificity across racial/ethnic groups and assigned clinical dementia diagnosis status using ICD-9-CM codes from Medicare claims. Multinomial logit models were used to estimate relative risks of clinical under- and overdiagnosis between groups and over time.

Results

Non-Hispanic blacks had roughly double the risk of underdiagnosis as non-Hispanic whites. While primary analyses suggested a shrinking disparity over time, this was not robust to sensitivity analyses or adjustment for covariates. Risk of overdiagnosis increased over time in both groups.

Discussion

Our results suggest that efforts to reduce racial disparities in underdiagnosis are warranted.

SUBMITTER: Gianattasio KZ 

PROVIDER: S-EPMC6926355 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

Racial disparities and temporal trends in dementia misdiagnosis risk in the United States.

Gianattasio Kan Z KZ   Prather Christina C   Glymour M Maria MM   Ciarleglio Adam A   Power Melinda C MC  

Alzheimer's & dementia (New York, N. Y.) 20191209


<h4>Introduction</h4>Systematic disparities in misdiagnosis of dementia across racial/ethnic groups have implications for health disparities. We compared the risk of dementia under- and overdiagnosis in clinical settings across racial/ethnic groups from 2000 to 2010.<h4>Methods</h4>We linked fee-for-service Medicare claims to participants aged ≥70 from the nationally representative Health and Retirement Study. We classified dementia status using an algorithm with similar sensitivity and specific  ...[more]

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