Racial/Ethnic Disparities in Misidentification of Dementia in Medicare Claims: Results from the Washington Heights-Inwood Columbia Aging Project

Author:

Zhu Carolyn W.12,Gu Yian3456,Cosentino Stephanie345,Kociolek Anton J.5,Hernandez Michelle5,Stern Yaakov345

Affiliation:

1. Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA

2. James J Peters VA Medical Center, Bronx, NY, USA

3. Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA

4. Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA

5. Taub Institute for Research in Alzheimer’s Disease and the Aging, Columbia University Irving Medical Center, New York, NY, USA

6. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA

Abstract

Background: Misidentification of dementia in Medicare claims is quite common. Objective: We examined potential race/ethnic disparities in misidentification of dementia in Medicare claims in a diverse cohort of older adults who underwent careful clinical assessment. Methods: Participants were enrolled in the Washington Heights-Inwood Columbia Aging Project (WHICAP), a multiethnic, population-based, prospective study of cognitive aging in which dementia status was assessed using a rigorous clinical protocol. ICD-9-CM and ICD-10-CM diagnosis codes in all available Medicare claims (1999–2019) were compared to clinical dementia diagnosis and categorized into three mutually exclusive groups: 1) congruent-, 2) over-, and 3) under- identification during the study period. Multinomial logistic regression model was used to examine the relationship between race (White, African American/Black, other) and ethnicity (Hispanic/Latinx, non-Hispanic/Latinx) and congruency of dementia identification after controlling for clinical (cognition, function, comorbidities) and demographic characteristics (age, sex, education), and inpatient and outpatient utilization. Results: Across all person-years, 88.4% had congruent identification of dementia compared to clinical diagnosis, in 4.1% of the times participants were over-identified with dementia, and 7.5% of the times the participants were under-identified. Rates of misidentification was higher in minority participants than in White, non-Hispanic participants. Multivariable estimation results showed that the probability of over-identification with dementia was 2.2% higher for African American/Black than White (p = 0.05) and 2.7% higher for Hispanic participants than non-Hispanics (p = 0.03) participants. Differences in under-identification by race/ethnicity were not statistically significant. Conclusions: African American/Black and Hispanic participants were more likely over-identified with dementia in Medicare claims.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

Reference44 articles.

1. Bynum J , Langa K (2020) Prevalence measurement for Alzheimer’s disease and dementia: Current status and future prospects. Paper Commissioned for a Workshop on Challenging Questions about Epidemiology, Care, and Caregiving for People with Alzheimer’s Disease and Related Dementias and Their Families. The National Academies Press, Washington DC.

2. Identifying dementia cases with routinely collected health data: A systematic review;Wilkinson;Alzheimers Dement,2018

3. Effect of pulmonary hypertension on survival in patients with idiopathic pulmonary fibrosis after lung transplantation: An analysis of the United Network of Organ Sharing registry;Hayes;J Heart Lung Transplant,2015

4. The accuracy of Medicare claims as an epidemiological tool: The case of dementia revisited;Taylor;J Alzheimers Dis,2009

5. An examination of Alzheimer’s disease case definitions using Medicare claims and survey data;Lin;Alzheimers Dement,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3