Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset.

Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset. Research Abstract Details 

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Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset. Abstract Text:

David P Folsom,Laurie Lindamer,Lori P Montross,William Hawthorne,Shahrokh Golshan,Richard Hough,John Shale,Dilip V Jeste,

Administrative datasets can provide information about mental health treatment in real world settings; however, an important limitation in using these datasets is the uncertainty regarding psychiatric diagnosis. To better understand the psychiatric diagnoses, we investigated the diagnostic variability of schizophrenia and major depression in a large public mental health system. Using schizophrenia and major depression as the two comparison diagnoses, we compared the variability of diagnoses assigned to patients with one recorded diagnosis of schizophrenia or major depression. In addition, for both of these diagnoses, the diagnostic variability was compared across seven types of treatment settings. Statistical analyses were conducted using t tests for continuous data and chi-square tests for categorical data. We found that schizophrenia had greater diagnostic variability than major depression (31% vs. 43%). For both schizophrenia and major depression, variability was significantly higher in jail and the emergency psychiatric unit than in inpatient or outpatient settings. These findings demonstrate that the variability of psychiatric diagnoses recorded in the administrative dataset of a large public mental health system varies by diagnosis and by treatment setting. Further research is needed to clarify the relationship between psychiatric diagnosis, diagnostic variability and treatment setting.

Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset. Publishing Authors By Initials

DP Folsom,L Lindamer,LP Montross,W Hawthorne,S Golshan,R Hough,J Shale,DV Jeste,

For similar investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research abstracts see: investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research

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Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Psychiatry research

VOLUME: 144

Page Numbers: 167-75

Journal Abbreviation:

ISSN: 0165-1781

DAY: 15

MONTH: 09

YEAR: 2006

Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset. Information

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LANGUAGE: eng

NlmUniqueID: 7911385

Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset. Keywords Mesh Terms:

KEYWORDS: Sensitivity and Specificity

MESH TERMS: epidemiology

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Grant and Affiliation Information for Diagnostic variability for schizophrenia and major depression in a large public mental health care system dataset.

AFFILIATION: Department of Psychiatry, University of California San Diego, San Diego, CA, USA. dfolsom@ucsd.edu

Country: Ireland

AGENCY: United States NIMH

GRANT: MH59101

ACRONYM: MH

MEDLINETA: Psychiatry Res

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