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Cited by 549

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Limitations of Diagnostic Criteria and Assessment Instruments for Mental Disorders: Implications for Research and Policy

Regier, Darrel A., Kaelber, Charles T., Rae, Donald S., Farmer, Mary E., Knauper, Barbel, Kessler, Ronald C., Norquist, Grayson S.·1998·Archives of General Psychiatry
DOI 10.1001/archpsyc.55.2.109
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Abstract

During the past 2 decades, psychiatric epidemiological studies have contributed a rapidly growing body of scientific knowledge on the scope and risk factors associated with mental disorders in communities. Technological advances in diagnostic criteria specificity and community case-identification interview methods, which made such progress feasible, now face new challenges. Standardized methods are needed to reduce apparent discrepancies in prevalence rates between similar population surveys and to differentiate clinically important disorders in need of treatment from less severe syndromes. Reports of some significant differences in mental disorder rates from 2 large community surveys conducted in the United States--the Epidemiologic Catchment Area study and the National Comorbidity Survey--provide the basis for examining the stability of methods in this field. We discuss the health policy implications of discrepant and/or high prevalence rates for determining treatment need in the context of managed care definitions of "medical necessity."

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Metadata

Authors
Regier, D. A., Kaelber, C. T., Rae, D. S., Farmer, M. E., Knauper, B., Kessler, R. C., & Norquist, G. S.
Venue
Archives of General Psychiatry
Publisher
American Medical Association (AMA)
Published
1998-02-01
Volume
55
Issue
2
Pages
109
ISSN
0003-990X (ISSN-L)
DOI
10.1001/archpsyc.55.2.109
OpenAlex
W2081724547
Cited by
549
References
5
FWCI
68.01
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.