Literature DB >> 17021147

Gender bias in the diagnosis of a geriatric standardized patient: a potential confounding variable.

Roya Lewis1, Ruth M Lamdan, David Wald, Michael Curtis.   

Abstract

BACKGROUND: Gender bias has been reported in the diagnosis and treatment of patients with a variety of illnesses. In the context of our 10-station fourth year Objective Structured Clinical Evaluation, we queried whether this could influence diagnosis in a geriatric case. Case writers hypothesized that, due to this bias, the female standardized patient may be diagnosed with depression more often than the male.
METHOD: A male or female geriatric standardized patient protrayed a dysphoric widow with mild cognitive impairment. Students examined the patient and documented the clinical encounter and their differential diagnosis.
RESULTS: Major depression was diagnosed in 93/107 female standardized patient encounters compared with 58/78 male exams, with the female students contributing most to this difference. DISCUSSION: The potential for gender bias in medical care and in education remains a concern. We need to be mindful of this when designing clinical skills assessments.

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Year:  2006        PMID: 17021147     DOI: 10.1176/appi.ap.30.5.392

Source DB:  PubMed          Journal:  Acad Psychiatry        ISSN: 1042-9670


  3 in total

1.  Virtual humans versus standardized patients: which lead residents to more correct diagnoses?

Authors:  Adam L Wendling; Shivashankar Halan; Patrick Tighe; Linda Le; Tammy Euliano; Benjamin Lok
Journal:  Acad Med       Date:  2011-03       Impact factor: 6.893

2.  Frequency and predictors of unspecific medical diagnoses in the emergency department: a prospective observational study.

Authors:  Martin Müller; Wolf E Hautz; Tanja Birrenbach; Michele Hoffmann; Stefanie C Hautz; Juliane E Kämmer; Aristomenis K Exadaktylos; Thomas C Sauter
Journal:  BMC Emerg Med       Date:  2022-06-15

3.  An Investigation of Diagnostic Accuracy and Confidence Associated with Diagnostic Checklists as Well as Gender Biases in Relation to Mental Disorders.

Authors:  Jan C Cwik; Fabienne Papen; Jan-Erik Lemke; Jürgen Margraf
Journal:  Front Psychol       Date:  2016-11-22
  3 in total

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