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Predicting the DSM-V

R K Blashfield¹, A K Fuller

¹Department of Psychiatry, University of Florida, Gainesville 32610, USA.

The Journal of Nervous and Mental Disease

|January 1, 1996

Summary

This summary is machine-generated.

This study predicts Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) features using past DSM data. Predictions cover publication date, content, and revenue, offering insights into the DSM-V

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Area of Science:

Psychiatry
Psychological assessment
Medical statistics

Background:

The Diagnostic and Statistical Manual of Mental Disorders (DSM) is a critical tool in psychiatric diagnosis.
Analyzing trends across previous DSM editions can inform predictions for future versions.

Purpose of the Study:

To predict key features of the upcoming Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V).
To forecast aspects such as publication timeline, structural characteristics, and financial outcomes of the DSM-V.

Main Methods:

Regression analysis utilizing historical data from prior DSM editions.
Statistical modeling to forecast specific DSM-V attributes.

Main Results:

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Predictions generated for DSM-V publication date, page count, and category numbers.

Forecasts include the number of diagnostic criteria, manual color, task force leadership, and projected revenues.

Conclusions:

Regression estimates provide a quantitative basis for anticipating DSM-V characteristics.
Understanding historical trends aids in predicting the evolution and impact of the DSM-V.