Three Approaches to Understanding and Classifying Mental Disorder: ICD-11, DSM-5, and the National Institute of Mental Health's Research Domain Criteria (RDoC). (November 2017)
- Record Type:
- Journal Article
- Title:
- Three Approaches to Understanding and Classifying Mental Disorder: ICD-11, DSM-5, and the National Institute of Mental Health's Research Domain Criteria (RDoC). (November 2017)
- Main Title:
- Three Approaches to Understanding and Classifying Mental Disorder: ICD-11, DSM-5, and the National Institute of Mental Health's Research Domain Criteria (RDoC)
- Authors:
- Clark, Lee Anna
Cuthbert, Bruce
Lewis-Fernández, Roberto
Narrow, William E.
Reed, Geoffrey M. - Abstract:
- The diagnosis of mental disorder initially appears relatively straightforward: Patients present with symptoms or visible signs of illness; health professionals make diagnoses based primarily on these symptoms and signs; and they prescribe medication, psychotherapy, or both, accordingly. However, despite a dramatic expansion of knowledge about mental disorders during the past half century, understanding of their components and processes remains rudimentary. We provide histories and descriptions of three systems with different purposes relevant to understanding and classifying mental disorder. Two major diagnostic manuals—the International Classification of Diseases and the Diagnostic and Statistical Manual of Mental Disorders —provide classification systems relevant to public health, clinical diagnosis, service provision, and specific research applications, the former internationally and the latter primarily for the United States. In contrast, the National Institute of Mental Health's Research Domain Criteria provides a framework that emphasizes integration of basic behavioral and neuroscience research to deepen the understanding of mental disorder. We identify four key issues that present challenges to understanding and classifying mental disorder: etiology, including the multiple causality of mental disorder; whether the relevant phenomena are discrete categories or dimensions; thresholds, which set the boundaries between disorder and nondisorder; and comorbidity, the factThe diagnosis of mental disorder initially appears relatively straightforward: Patients present with symptoms or visible signs of illness; health professionals make diagnoses based primarily on these symptoms and signs; and they prescribe medication, psychotherapy, or both, accordingly. However, despite a dramatic expansion of knowledge about mental disorders during the past half century, understanding of their components and processes remains rudimentary. We provide histories and descriptions of three systems with different purposes relevant to understanding and classifying mental disorder. Two major diagnostic manuals—the International Classification of Diseases and the Diagnostic and Statistical Manual of Mental Disorders —provide classification systems relevant to public health, clinical diagnosis, service provision, and specific research applications, the former internationally and the latter primarily for the United States. In contrast, the National Institute of Mental Health's Research Domain Criteria provides a framework that emphasizes integration of basic behavioral and neuroscience research to deepen the understanding of mental disorder. We identify four key issues that present challenges to understanding and classifying mental disorder: etiology, including the multiple causality of mental disorder; whether the relevant phenomena are discrete categories or dimensions; thresholds, which set the boundaries between disorder and nondisorder; and comorbidity, the fact that individuals with mental illness often meet diagnostic requirements for multiple conditions. We discuss how the three systems' approaches to these key issues correspond or diverge as a result of their different histories, purposes, and constituencies. Although the systems have varying degrees of overlap and distinguishing features, they share the goal of reducing the burden of suffering due to mental disorder. … (more)
- Is Part Of:
- Psychological science in the public interest. Volume 18:Number 2(2017)
- Journal:
- Psychological science in the public interest
- Issue:
- Volume 18:Number 2(2017)
- Issue Display:
- Volume 18, Issue 2 (2017)
- Year:
- 2017
- Volume:
- 18
- Issue:
- 2
- Issue Sort Value:
- 2017-0018-0002-0000
- Page Start:
- 72
- Page End:
- 145
- Publication Date:
- 2017-11
- Subjects:
- diagnosis -- classification -- mental disorder -- International Classification of Diseases -- ICD -- Diagnostic and Statistical Manual of Mental Disorders -- DSM -- Research Domain Criteria -- RDoC
Psychology, Applied -- Periodicals
Community psychology -- Periodicals
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http://www.ingenta.com/journals/browse/bpl/pspi?mode=direct ↗
http://www.jstor.org/journals/15291006.html ↗
http://online.sagepub.com/ ↗
http://firstsearch.oclc.org/journal=1529-1006;screen=info;ECOIP ↗ - DOI:
- 10.1177/1529100617727266 ↗
- Languages:
- English
- ISSNs:
- 1529-1006
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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