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Association Between Socioeconomic Factors, Race, and Use of a Specialty Memory Clinic.
Lewis, Abigail; Gupta, Aditi; Oh, Inez; Schindler, Suzanne E; Ghoshal, Nupur; Abrams, Zachary; Foraker, Randi; Snider, Barbara Joy; Morris, John C; Balls-Berry, Joyce; Gupta, Mahendra; Payne, Philip R O; Lai, Albert M.
Afiliação
  • Lewis A; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Gupta A; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Oh I; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Schindler SE; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Ghoshal N; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Abrams Z; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Foraker R; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Snider BJ; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Morris JC; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Balls-Berry J; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Gupta M; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Payne PRO; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
  • Lai AM; From the Division of Computational and Data Sciences (A.L.), Washington University in St. Louis; Institute for Informatics (A.L., A.G., I.O., Z.A., R.F., P.R.O.P., A.M.L.), Department of Neurology (S.E.S., N.G., B.J.S., J.C.M., J.B.-B.), and Department of Psychiatry (N.G.), Washington University Sch
Neurology ; 101(14): e1424-e1433, 2023 10 03.
Article em En | MEDLINE | ID: mdl-37532510
ABSTRACT
BACKGROUND AND

OBJECTIVES:

The capacity of specialty memory clinics in the United States is very limited. If lower socioeconomic status or minoritized racial group is associated with reduced use of memory clinics, this could exacerbate health care disparities, especially if more effective treatments of Alzheimer disease become available. We aimed to understand how use of a memory clinic is associated with neighborhood-level measures of socioeconomic factors and the intersectionality of race.

METHODS:

We conducted an observational cross-sectional study using electronic health record data to compare the neighborhood advantage of patients seen at the Washington University Memory Diagnostic Center with the catchment area using a geographical information system. Furthermore, we compared the severity of dementia at the initial visit between patients who self-identified as Black or White. We used a multinomial logistic regression model to assess the Clinical Dementia Rating at the initial visit and t tests to compare neighborhood characteristics, including Area Deprivation Index, with those of the catchment area.

RESULTS:

A total of 4,824 patients seen at the memory clinic between 2008 and 2018 were included in this study (mean age 72.7 [SD 11.0] years, 2,712 [56%] female, 543 [11%] Black). Most of the memory clinic patients lived in more advantaged neighborhoods within the overall catchment area. The percentage of patients self-identifying as Black (11%) was lower than the average percentage of Black individuals by census tract in the catchment area (16%) (p < 0.001). Black patients lived in less advantaged neighborhoods, and Black patients were more likely than White patients to have moderate or severe dementia at their initial visit (odds ratio 1.59, 95% CI 1.11-2.25).

DISCUSSION:

This study demonstrates that patients living in less affluent neighborhoods were less likely to be seen in one large memory clinic. Black patients were under-represented in the clinic, and Black patients had more severe dementia at their initial visit. These findings suggest that patients with a lower socioeconomic status and who identify as Black are less likely to be seen in memory clinics, which are likely to be a major point of access for any new Alzheimer disease treatments that may become available.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Neurology Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Neurology Ano de publicação: 2023 Tipo de documento: Article