Literature DB >> 21103149

The Reliability of Psychiatric Diagnosis Revisited: The Clinician's Guide to Improve the Reliability of Psychiatric Diagnosis.

Ahmed Aboraya1, Eric Rankin, Cheryl France, Ahmed El-Missiry, Collin John.   

Abstract

BACKGROUND: The authors reviewed the topic of reliability of psychiatric diagnosis from the turn of the 20th century to present. The objectives of this paper are to explore the reasons of unreliability of psychiatric diagnosis and propose ways to improve the reliability of psychiatric diagnosis.
METHOD: The authors reviewed the literature on the concept of reliability of psychiatric diagnosis with emphasis on the impact of interviewing skills, use of diagnostic criteria, and structured interviews on the reliability of psychiatric diagnosis.
RESULTS: Causes of diagnostic unreliability are attributed to the patient, the clinician and psychiatric nomenclature. The reliability of psychiatric diagnosis can be enhanced by using diagnostic criteria, defining psychiatric symptoms and structuring the interviews.
CONCLUSIONS: The authors propose the acronym 'DR.SED,' which stands for diagnostic criteria, reference definitions, structuring the interview, clinical experience, and data. The authors recommend that clinicians use the DR.SED paradigm to improve the reliability of psychiatric diagnoses.

Entities:  

Keywords:  psychiatric diagnosis; rating scales and structured interview; reliability

Year:  2006        PMID: 21103149      PMCID: PMC2990547     

Source DB:  PubMed          Journal:  Psychiatry (Edgmont)        ISSN: 1550-5952


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  29 in total

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Journal:  Psychiatry (Edgmont)       Date:  2007-01

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Authors:  Ahmed Aboraya
Journal:  Psychiatry (Edgmont)       Date:  2008-07

8.  The ICD-11 developmental field study of reliability of diagnoses of high-burden mental disorders: results among adult patients in mental health settings of 13 countries.

Authors:  Geoffrey M Reed; Pratap Sharan; Tahilia J Rebello; Jared W Keeley; María Elena Medina-Mora; Oye Gureje; José Luis Ayuso-Mateos; Shigenobu Kanba; Brigitte Khoury; Cary S Kogan; Valery N Krasnov; Mario Maj; Jair de Jesus Mari; Dan J Stein; Min Zhao; Tsuyoshi Akiyama; Howard F Andrews; Elson Asevedo; Majda Cheour; Tecelli Domínguez-Martínez; Joseph El-Khoury; Andrea Fiorillo; Jean Grenier; Nitin Gupta; Lola Kola; Maya Kulygina; Itziar Leal-Leturia; Mario Luciano; Bulumko Lusu; J Nicolas; I Martínez-López; Chihiro Matsumoto; Lucky Umukoro Onofa; Sabrina Paterniti; Shivani Purnima; Rebeca Robles; Manoj K Sahu; Goodman Sibeko; Na Zhong; Michael B First; Wolfgang Gaebel; Anne M Lovell; Toshimasa Maruta; Michael C Roberts; Kathleen M Pike
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9.  Meta-analysis of DSM alcohol use disorder criteria severities: structural consistency is only 'skin deep'.

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Review 10.  Personalized medicine: Genetic risk prediction of drug response.

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