Cited by 46Mental Health Treatment and AccessCultural Competency in Health CareHealth disparities and outcomes

Race, Gender, and Psychiatrists' Diagnosis and Treatment of Major Depression Among Elderly Patients

Kales, Helen C., Neighbors, Harold W., Blow, Frederic C., Taylor, Kiran K. K., Gillon, Leah, Welsh, Deborah E., Maixner, Susan M., Mellow, Alan M.·2005·Psychiatric Services

Abstract

Objective This study examined psychiatrists' contributions to racial and gender disparities in diagnosis and treatment among elderly persons. Methods Psychiatrists who volunteered to participate in the study were randomly assigned to one of four video vignettes depicting an elderly patient with late-life depression. The vignettes differed only in terms of the race of the actor portraying the patient (white or African American) and gender. The study participants were 329 psychiatrists who attended the 2002 annual meeting of the American Psychiatric Association. Results Eighty-one percent of the psychiatrists assigned the elderly patient a diagnosis of major depression. Patients' race and gender was not associated with significant differences in the diagnoses of major depression, assessment of most patient characteristics, or recommendations for managing the disorder. However, psychiatrists' characteristics, particularly the location of the medical school at which the psychiatrist was trained (United States versus international), were significantly associated with a number of variables. Conclusions Given standardized symptom pictures, psychiatrists are no less likely to diagnose or treat depression among African-American elderly patients than among other patients, which suggests that bias based simply on race is not a likely explanation for racial differences in diagnosis and treatments found in earlier clinical studies. The impact of psychiatrists' having trained at internatio…

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Crossref · 10.1176/appi.ps.56.6.721

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  • In one study, estimates of SES were significantly related to estimates of patient demeanour, with lower SES associated with hostile patient demeanour.

    “one reported that estimates of SES in turn were significantly related to estimates of patient demeanour (lower SES associated with hostile patient demeanour) [37].”
  • The two studies that reported no evidence of bias in diagnosis of depression found that physicians' estimates of SES were influenced by race, with lower SES estimated for black patients.

    “The two studies that reported no evidence of bias in diagnosis of depression found that physicians’ estimates of SES were influenced by race (lower SES estimated for black patients); [37, 38]”

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Authors
Kales, H. C., Neighbors, H. W., Blow, F. C., Taylor, K. K. K., Gillon, L., Welsh, D. E., Maixner, S. M., & Mellow, A. M.
Affiliations
  • University of Michigan (US)
  • United States Department of Veterans Affairs (US)
  • VA Ann Arbor Healthcare System (US)
Venue
Psychiatric Services
Published
2005-06
Volume
56
Issue
6
Pages
721-728
ISSN
  • 0022-1597 (ISSN-L)
  • 1075-2730
  • 1557-9700
OpenAlex
W2136001089
Cited by
46
References
2
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 1 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 7 · 2013: 1 · 2012: 3
FWCI
4.91
Type
journal article
Language
en
Open access
closed
Locations
  • Psychiatric Services (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Sociology and Political Science › Cultural Competency in Health Care
  • Social Sciences › Health › Health disparities and outcomes
Keywords
racial disparities, gender disparities, geriatric depression, major depressive disorder, elderly patients, African American patients, treatment guidelines, medical school location, cultural competence, geriatric psychiatry, video vignettes
MeSH terms
Adult, Aged, Antidepressive Agents, Black or African American, Major Depressive Disorder, Ethnicity, Female, Humans, Male, Middle Aged, Personality Assessment, Psychiatry, Psychometrics, Sex Factors, Stereotyping, Patient Simulation, Black People, White People

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