Literature DB >> 2727211

Diagnostic grammar and assessment: translating criteria into questions.

L N Robins1.   

Abstract

There has been concern about whether standardized psychiatric interviews make valid diagnoses. Agreements between the Diagnostic Interview Schedule (DIS), as an example of a standardized interview, with independent assessments by a clinician are reasonably high in most studies, but the clinical assessment is itself of uncertain validity. Using predictive ability is an alternative way of judging validity. Data are presented to show that the DIS is almost as good at prediction as a clinician's assessment, but here too there are problems. Because prediction is probabilistic (i.e. the same disorder can have multiple outcomes, and different disorders can share outcomes), it is not possible to say how good prediction has to be to demonstrate perfect validity. Across varied methods of validity assessment, some disorders are regularly found more validly diagnosed than others, suggesting that part of the source of invalidity lies in the diagnostic grammar of the systems whose criteria standardized interviews evaluate. Sources of invalidity inherent in the content and structure of a variety of diagnoses in DSM-III and its heir, DSM-III-R, are reviewed and illustrated, in part with results from the Epidemiological Catchment Area study. The relationship between diagnostic criteria and standardized interviews is symbiotic. While attempts to adhere closely to existing diagnostic criteria contribute to the diagnostic accuracy of standardized interviews, the exercise of translating official diagnostic criteria into standardized questions highlights problems in the system's diagnostic grammar, enabling standardized interviews to contribute to improvements in diagnostic nosology.

Entities:  

Mesh:

Year:  1989        PMID: 2727211     DOI: 10.1017/s0033291700011028

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  10 in total

1.  Clinical calibration of DSM-IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMHCIDI).

Authors:  Ronald C Kessler; Jamie Abelson; Olga Demler; Javier I Escobar; Miriam Gibbon; Margaret E Guyer; Mary J Howes; Robert Jin; William A Vega; Ellen E Walters; Philip Wang; Alan Zaslavsky; Hui Zheng
Journal:  Int J Methods Psychiatr Res       Date:  2004       Impact factor: 4.035

2.  Psychiatric epidemiology--a historic review.

Authors:  L N Robins
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1990-01       Impact factor: 4.328

3.  Heritable influences on amygdala and orbitofrontal cortex contribute to genetic variation in core dimensions of personality.

Authors:  G J Lewis; M S Panizzon; L Eyler; C Fennema-Notestine; C-H Chen; M C Neale; T L Jernigan; M J Lyons; A M Dale; W S Kremen; C E Franz
Journal:  Neuroimage       Date:  2014-09-28       Impact factor: 6.556

4.  Initial response to cigarettes predicts rate of progression to regular smoking: findings from an offspring-of-twins design.

Authors:  Carolyn E Sartor; Christina N Lessov-Schlaggar; Jeffrey F Scherrer; Kathleen K Bucholz; Pamela A F Madden; Michele L Pergadia; Julia D Grant; Theodore Jacob; Hong Xian
Journal:  Addict Behav       Date:  2010-03-16       Impact factor: 3.913

5.  Cumulative prevalence of psychiatric disorders by young adulthood: a prospective cohort analysis from the Great Smoky Mountains Study.

Authors:  William Copeland; Lilly Shanahan; E Jane Costello; Adrian Angold
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2011-01-26       Impact factor: 8.829

6.  Substance use disorders in DSM-V when applied to adolescents.

Authors:  Ken C Winters; Chris S Martin; Tammy Chung
Journal:  Addiction       Date:  2011-05       Impact factor: 6.526

7.  Alcoholism and judgments of affective stimuli.

Authors:  Uraina S Clark; Marlene Oscar-Berman; Barbara Shagrin; Michael Pencina
Journal:  Neuropsychology       Date:  2007-05       Impact factor: 3.295

8.  Parent, sibling and peer associations with subtypes of psychiatric and substance use disorder comorbidity in offspring.

Authors:  Vivia V McCutcheon; Jeffrey F Scherrer; Julia D Grant; Hong Xian; Jon Randolph Haber; Theodore Jacob; Kathleen K Bucholz
Journal:  Drug Alcohol Depend       Date:  2012-08-21       Impact factor: 4.492

9.  How should we revise diagnostic criteria for substance use disorders in the DSM-V?

Authors:  Christopher S Martin; Tammy Chung; James W Langenbucher
Journal:  J Abnorm Psychol       Date:  2008-08

10.  Gene-environment interaction of ApoE genotype and combat exposure on PTSD.

Authors:  Michael J Lyons; Margo Genderson; Michael D Grant; Mark Logue; Tyler Zink; Ruth McKenzie; Carol E Franz; Matthew Panizzon; James B Lohr; Beth Jerskey; William S Kremen
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2013-10       Impact factor: 3.568

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.