Cited by 169Mental Health Treatment and AccessSocial and Intergroup PsychologyPsychology and Mental Health

Implicit and Explicit Stigma of Mental Illness: Links to Clinical Care

Peris, Tara S., Teachman, Bethany A., Nosek, Brian A.·2008·Journal of Nervous & Mental Disease

Abstract

This study examined implicit and explicit measures of bias toward mental illness among people with different levels of mental health training, and investigated the influence of stigma on clinically-relevant decision-making. Participants (N = 1539) comprised of (1) mental health professionals and clinical graduate students, (2) other health care/social services specialists, (3) undergraduate students, and (4) the general public self-reported their attitudes toward people with mental illness, and completed implicit measures to assess mental illness evaluations that exist outside of awareness or control. In addition, participants predicted patient prognoses and assigned diagnoses after clinical vignettes. Compared with people without mental health training, individuals with mental health training demonstrated more positive implicit and explicit evaluations of people with mental illness. Further, explicit (but not implicit) biases predicted more negative patient prognoses, but implicit (and not explicit) biases predicted over-diagnosis, underscoring the value of using both implicit and explicit measures.

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Crossref · 10.1097/nmd.0b013e3181879dfd

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  • Peris 2008 found those with mental health training displayed less implicit and explicit prejudices.

    “Those with mental health training displayed less implicit and explicit prejudices.”
  • Peris 2008 found implicit (and not explicit) biases predicted over-diagnosis.

    “Their explicit (but not implicit) biases predicted more negative patient prognoses, but implicit (and not explicit) biases predicted over-diagnosis.”
  • Peris 2008 found explicit (but not implicit) biases predicted more negative patient prognoses.

    “Their explicit (but not implicit) biases predicted more negative patient prognoses, but implicit (and not explicit) biases predicted over-diagnosis.”
  • Peris 2008 found overall, explicit and implicit views were not negative towards individuals with mental illness.

    “Overall, explicit and implicit views were not negative towards individuals with mental illness.”
  • Four studies included participants who were not trained physicians or nurses and failed to report separate results for these categories of participants.

    “Four studies included participants who were not trained physicians or nurses and failed to report separate results for these categories of participants [42, 44, 49, 50].”

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References 46 · Cited by 169

Authors
Peris, T. S., Teachman, B. A., & Nosek, B. A.
Affiliations
  • University of California, Los Angeles (US)
  • University of Virginia (US)
Corresponding author
Peris, Tara S.
Venue
Journal of Nervous & Mental Disease
Published
2008-10
Volume
196
Issue
10
Pages
752-760
ISSN
0022-3018 (ISSN-L)
OpenAlex
W2082734370
Cited by
169
References
46
Citations by year
2026: 4 · 2025: 6 · 2024: 7 · 2023: 12 · 2022: 8 · 2021: 12 · 2020: 14 · 2019: 20 · 2018: 15 · 2017: 7 · 2016: 14 · 2015: 9 · 2014: 7 · 2013: 7 · 2012: 9
FWCI
7.97
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Nervous and Mental Disease (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • U.S. Public Health Service (R03 PA03039)
  • National Institute of Mental Health (T32 MH073517:01A1, R01MH068447, T32MH073517)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
  • Social Sciences › Psychology › Clinical Psychology › Psychology and Mental Health
Keywords
mental health stigma, implicit bias, explicit bias, mental health training, attitudes toward people with mental illness, clinical decision-making, overdiagnosis, clinical vignettes, mental health professionals
MeSH terms
Adult, Attitude of Health Personnel, Mental Disorders, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Prejudice, Stereotyping

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