Literature DB >> 34554020

Examining racial disparities in the diagnosis of mild cognitive impairment.

Andrew M Kiselica1, Ellen Johnson1,2, Kaleea R Lewis3,4, Kate Trout5.   

Abstract

Black individuals are less likely to receive an accurate diagnosis of mild cognitive impairment (MCI) than their White counterparts, possibly because diagnoses are typically made by a physician, often without reference to objective neuropsychological test data. We examined racial differences in actuarial MCI diagnoses among individuals diagnosed with MCI via semi-structured clinical interview (the Clinical Dementia Rating) to examine for possible biases in the diagnostic process. Participants were drawn from the National Alzheimer's Coordinating Center Uniform Data Set and included 491 individuals self-identifying as Black and 2,818 individuals self-identifying as White. Chi-square tests were used to examine racial differences in rates of low scores for each cognitive test (domains assessed included attention, processing speed/executive functioning, memory, language, and visual skills). Next, we tested for racial differences in probability of meeting actuarial criteria for MCI by race. Compared to Black participants diagnosed with MCI via clinical interview, White individuals diagnosed with MCI via clinical interview demonstrated significantly higher rates of low demographically-adjusted z-scores on tests of memory, attention, processing speed, and verbal fluency. Furthermore, White individuals were significantly more likely to meet actuarial criteria for MCI (71.60%) than Black individuals (57.90%). Results suggest there may be bias in MCI classification based on semi-structured interview, leading to over diagnosis among Black individuals and/or under diagnosis among White individuals. Examination of neuropsychological test data and use of actuarial approaches may reduce racial disparities in the diagnosis of MCI. Nonetheless, issues related to race-based norming and differential symptom presentations complicate interpretation of results.

Entities:  

Keywords:  Cognition; diagnosis; mild cognitive impairment; neuropsychology; racial differences

Year:  2021        PMID: 34554020      PMCID: PMC8940745          DOI: 10.1080/23279095.2021.1976778

Source DB:  PubMed          Journal:  Appl Neuropsychol Adult        ISSN: 2327-9095            Impact factor:   2.248


  47 in total

1.  The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.

Authors:  Marilyn S Albert; Steven T DeKosky; Dennis Dickson; Bruno Dubois; Howard H Feldman; Nick C Fox; Anthony Gamst; David M Holtzman; William J Jagust; Ronald C Petersen; Peter J Snyder; Maria C Carrillo; Bill Thies; Creighton H Phelps
Journal:  Alzheimers Dement       Date:  2011-04-21       Impact factor: 21.566

2.  Subjective cognitive complaints contribute to misdiagnosis of mild cognitive impairment.

Authors:  Emily C Edmonds; Lisa Delano-Wood; Douglas R Galasko; David P Salmon; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2014-08-26       Impact factor: 2.892

Review 3.  Race-specific norms: using the model of hypertension to understand issues of race, culture, and education in neuropsychology.

Authors:  Jennifer J Manly; Ruben J Echemendia
Journal:  Arch Clin Neuropsychol       Date:  2007-03-12       Impact factor: 2.813

4.  The Effects of Race and Racial Concordance on Patient-Physician Communication: A Systematic Review of the Literature.

Authors:  Megan Johnson Shen; Emily B Peterson; Rosario Costas-Muñiz; Migda Hunter Hernandez; Sarah T Jewell; Konstantina Matsoukas; Carma L Bylund
Journal:  J Racial Ethn Health Disparities       Date:  2017-03-08

5.  The Clinical Dementia Rating (CDR): current version and scoring rules.

Authors:  J C Morris
Journal:  Neurology       Date:  1993-11       Impact factor: 9.910

6.  Racial differences in the recognition of cognitive dysfunction in older persons.

Authors:  Barry W Rovner; Robin J Casten; Christine Arenson; Brooke Salzman; Erin B Kornsey
Journal:  Alzheimer Dis Assoc Disord       Date:  2012 Jan-Mar       Impact factor: 2.703

7.  Memory performance and mild cognitive impairment in Black and White community elders.

Authors:  Graham J McDougall; Phillip W Vaughan; Taylor W Acee; Heather Becker
Journal:  Ethn Dis       Date:  2007       Impact factor: 1.847

8.  Using multivariate base rates of low scores to understand early cognitive declines on the uniform data set 3.0 Neuropsychological Battery.

Authors:  Andrew M Kiselica; Troy A Webber; Jared F Benge
Journal:  Neuropsychology       Date:  2020-04-27       Impact factor: 3.295

9.  Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study.

Authors:  Lisa Miebach; Steffen Wolfsgruber; Alexandra Polcher; Oliver Peters; Felix Menne; Katja Luther; Enise Incesoy; Josef Priller; Eike Spruth; Slawek Altenstein; Katharina Buerger; Cihan Catak; Daniel Janowitz; Robert Perneczky; Julia Utecht; Christoph Laske; Martina Buchmann; Anja Schneider; Klaus Fliessbach; Pascal Kalbhen; Michael T Heneka; Frederic Brosseron; Annika Spottke; Nina Roy; Stefan J Teipel; Ingo Kilimann; Jens Wiltfang; Claudia Bartels; Emrah Düzel; Laura Dobisch; Coraline Metzger; Dix Meiberth; Alfredo Ramirez; Frank Jessen; Michael Wagner
Journal:  Alzheimers Res Ther       Date:  2019-07-31       Impact factor: 6.982

Review 10.  Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set.

Authors:  Lilah Besser; Walter Kukull; David S Knopman; Helena Chui; Douglas Galasko; Sandra Weintraub; Gregory Jicha; Cynthia Carlsson; Jeffrey Burns; Joseph Quinn; Robert A Sweet; Katya Rascovsky; Merilee Teylan; Duane Beekly; George Thomas; Mark Bollenbeck; Sarah Monsell; Charles Mock; Xiao Hua Zhou; Nicole Thomas; Elizabeth Robichaud; Margaret Dean; Janene Hubbard; Mary Jacka; Kristen Schwabe-Fry; Joylee Wu; Creighton Phelps; John C Morris
Journal:  Alzheimer Dis Assoc Disord       Date:  2018 Oct-Dec       Impact factor: 2.703

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