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An outsider-insider's views about revising the DSMs
1New York State Psychiatric Institute, New York 10032.
Journal of Abnormal Psychology
|August 1, 1991
Summary
The Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) process incorporated empirical advances like literature reviews. However, final decisions for DSM-IV likely still relied on expert consensus over data.
Area of Science:
- Psychiatry
- Mental Health Diagnostics
- Clinical Psychology
Background:
- The Diagnostic and Statistical Manual of Mental Disorders (DSM) is a critical tool for mental health diagnosis.
- Previous editions, DSM-III and DSM-III-R, were developed with significant expert input.
- The author has prior leadership experience in the development of DSM-III and DSM-III-R.
Purpose of the Study:
- To provide an insider-outsider perspective on the development process of the DSM-IV.
- To evaluate the advancements and limitations of the DSM-IV development methodology.
- To compare the decision-making basis of DSM-IV with previous editions.
Main Methods:
- Analysis of the DSM-IV development process from an insider-outsider viewpoint.
- Review of specific methodological advancements, including systematic literature reviews and focused field trials.
- Comparison of data-driven approaches versus expert consensus in diagnostic manual development.
Main Results:
- The DSM-IV development incorporated significant methodological improvements, notably systematic literature reviews and focused field trials.
- These advancements aimed to increase the influence of empirical findings in diagnostic criteria.
- Despite methodological progress, the final decisions for DSM-IV were likely still predominantly based on expert consensus.
Conclusions:
- The DSM-IV development represents a step forward in integrating empirical evidence into psychiatric diagnostics.
- The continued reliance on expert consensus highlights ongoing challenges in data-driven decision-making for diagnostic manuals.
- Future revisions may benefit from further strengthening the role of empirical data over consensus.