Literature DB >> 21093059

Misdiagnosing bipolar disorder--do clinicians show heuristic biases?

Larissa Wolkenstein1, Katrin Bruchmüller, Petra Schmid, Thomas D Meyer.   

Abstract

BACKGROUND: Bipolar disorders (BD) are often misdiagnosed. Clinicians seem to use heuristics instead of following the recommendations of diagnostic manuals. Bruchmüller and Meyer (2009) suggest that 'reduced sleep' is a prototypic criterion that increases the likelihood of a bipolar diagnosis. This study examines if this criterion specifically elevates the likelihood of a bipolar diagnosis or if the finding of the study mentioned above is rather due to the total number of criteria. Furthermore, we want to replicate the finding that patients offering a causal explanation for their manic symptoms are misdiagnosed more often. Additionally, we examine therapeutic attributes that might influence diagnostic decisions as well as treatment consequences following a (mis-)diagnosis.
METHODS: 204 Psychotherapists were presented with a case vignette describing someone with a BD and were asked to make a diagnosis. Symptoms and the total number of criteria varied systematically within the vignettes but each still fulfilled enough diagnostic criteria to be diagnosed as bipolar.
RESULTS: Almost 60% of the clinicians made misdiagnoses. A correct diagnosis did not depend on the specific criterion of 'reduced sleep' but on the total number of criteria. The causal explanation as well as therapeutic attributes did not significantly influence diagnostic decisions. However, the study showed that a misdiagnosis can lead to severe consequences concerning the treatment recommended by clinicians. LIMITATIONS: The validity of case vignettes is discussible.
CONCLUSIONS: It seems as if specific symptoms might not be of so much relevance as assumed. Instead, clinicians seem to follow the additive model when making diagnoses.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21093059     DOI: 10.1016/j.jad.2010.10.036

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  7 in total

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2.  Grey matter volume abnormalities in patients with bipolar I depressive disorder and unipolar depressive disorder: a voxel-based morphometry study.

Authors:  Yi Cai; Jun Liu; Li Zhang; Mei Liao; Yan Zhang; Lifeng Wang; Hongjun Peng; Zhong He; Zexuan Li; Weihui Li; Shaojia Lu; Yuqiang Ding; Lingjiang Li
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3.  Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: a voxel-based meta-analysis

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4.  Diagnostic disagreements in bipolar disorder: the role of substance abuse comorbidities.

Authors:  Rowena Shalini Theodore; Monica Ramirez Basco; John R Biggan
Journal:  Depress Res Treat       Date:  2012-01-26

5.  Generalizing the Prediction of Bipolar Disorder Onset Across High-Risk Populations.

Authors:  Anna R Van Meter; Danella M Hafeman; John Merranko; Eric A Youngstrom; Boris B Birmaher; Mary A Fristad; Sarah M Horwitz; L Eugene Arnold; Robert L Findling
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2020-10-08       Impact factor: 13.113

6.  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

7.  Teaching Cognitive Bias in a Hurry: Single-Session Workshop Approach for Psychiatry Residents and Students.

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  7 in total

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