Literature DB >> 4015308

Comparison of the lay Diagnostic Interview Schedule and a standardized psychiatric diagnosis. Experience in eastern Baltimore.

J C Anthony, M Folstein, A J Romanoski, M R Von Korff, G R Nestadt, R Chahal, A Merchant, C H Brown, S Shapiro, M Kramer.   

Abstract

We studied DSM-III diagnoses made by the lay Diagnostic Interview Schedule (DIS) method in relation to a standardized DSM-III diagnosis by psychiatrists in the two-stage Baltimore Epidemiologic Catchment Area mental morbidity survey. Generally, prevalence estimates based on the DIS one-month diagnoses were significantly different from those based on the psychiatric diagnoses. Subjects identified as cases by each method were often different subjects. Measured in terms of kappa, the chance-corrected degree of agreement between the DIS and psychiatrists' one-month diagnoses was moderate for DSM-III alcohol-use disorder (abuse and dependence combined), and lower for other mental disorder categories. The unreliability of either the DIS or psychiatric diagnoses is one potential explanation for the observed disagreements. Others include the following: insufficient or inadequate information (on which to base a diagnosis); recency of disorder; incomplete criterion coverage; overinclusive DIS questions; and degree of reliance on subject symptom reports. Further study of the nature and sources of these discrepancies is underway. This work should produce a more complete understanding of obstacles to mental disorder case ascertainment by lay interview and clinical examination methods in the context of a field survey.

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Year:  1985        PMID: 4015308     DOI: 10.1001/archpsyc.1985.01790300029004

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  81 in total

1.  Validation of a new diagnostic procedure for DSM IV axis I disorders.

Authors:  Jean-Yves Loze; Bruno Falissard; Frederic Limosin; Christophe Recasens; Anne-Sophie Horreard; Frederic Rouillon
Journal:  Int J Methods Psychiatr Res       Date:  2002       Impact factor: 4.035

2.  Why discrepancies exist between structured diagnostic interviews and clinicians' diagnoses.

Authors:  V Kovess; O Sylla; L Fournier; V Flavigny
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1992-08       Impact factor: 4.328

3.  Epidemiology by computer.

Authors:  J R Clayer; A C McFarlane; G Wright
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1992-11       Impact factor: 4.328

Review 4.  Mental illness in the homeless: problems of epidemiologic method in surveys of the 1980s.

Authors:  E Susser; S Conover; E L Struening
Journal:  Community Ment Health J       Date:  1990-10

5.  Regarding objectivity of psychiatric diagnoses.

Authors: 
Journal:  Psychiatry (Edgmont)       Date:  2007-12

6.  A cross-cultural adaptation of a psychiatric epidemiologic instrument: the diagnostic interview schedule's adaptation in Puerto Rico.

Authors:  M Bravo; G J Canino; M Rubio-Stipec; M Woodbury-Fariña
Journal:  Cult Med Psychiatry       Date:  1991-03

7.  Does Interviewer Status Matter? An examination of Lay Interviewers and Medical Doctor Interviewers in an Epidemiological Study in Vietnam.

Authors:  Ananda B Amstadter; Lisa Richardson; Ron Acierno; Dean G Kilpatrick; Mario T Gaboury; Trinh Luong Tran; Lam Tu Trung; Nguyen Thanh Tam; Tran Tuan; La Thi Buoi; Tran Thu Ha; Tran Duc Thach
Journal:  Int Perspect Vict       Date:  2010-08-01

8.  The Major Depression Inventory versus Schedules for Clinical Assessment in Neuropsychiatry in a population sample.

Authors:  Yvonne Forsell
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-03       Impact factor: 4.328

9.  Evidence for a closing gender gap in alcohol use, abuse, and dependence in the United States population.

Authors:  Katherine M Keyes; Bridget F Grant; Deborah S Hasin
Journal:  Drug Alcohol Depend       Date:  2007-11-05       Impact factor: 4.492

10.  Level of education and alcohol abuse and dependence in adulthood: a further inquiry.

Authors:  R M Crum; J E Helzer; J C Anthony
Journal:  Am J Public Health       Date:  1993-06       Impact factor: 9.308

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