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A format for DSM-III diagnostic formulation: experience with 1,111 consecutive patients
The American Journal of Psychiatry
|May 1, 1982
Summary
This study introduces a structured format for organizing Diagnostic and Statistical Manual of Mental Disorders, 3rd Edition (DMS-III) diagnoses across five axes. The format aids in classifying principal, provisional, and rule-out diagnoses for improved psychiatric care.
Area of Science:
- Psychiatry and Mental Health
- Clinical Diagnostics
- Medical Record Keeping
Background:
- The Diagnostic and Statistical Manual of Mental Disorders, 3rd Edition (DMS-III) provides a framework for psychiatric diagnosis.
- Organizing complex diagnostic information, including principal, provisional, and rule-out diagnoses, presents a clinical challenge.
- Standardized formats can enhance the consistency and utility of diagnostic information.
Purpose of the Study:
- To present a novel format for organizing DMS-III diagnoses.
- To structure diagnostic information along the five axes of the DMS-III.
- To facilitate the clear categorization of principal, provisional, and rule-out diagnoses.
Main Methods:
- A structured format was developed to organize DMS-III diagnoses by axis.
- The format includes ordered diagnostic categories, principal/provisional status, and rule-out alternatives.
- Diagnostic terms and codes for dimensional axes were linearly arranged.
- The format was applied to 1,111 new patients over six months at a psychiatric facility.
Main Results:
- The study details the frequency of specific diagnostic category use within the new format.
- Analysis included the utilization of dimensional levels for provisional and rule-out diagnoses.
- The format demonstrated utility in organizing diagnostic data for a large patient cohort.
Conclusions:
- The presented format offers a systematic approach to organizing DMS-III diagnoses.
- This structured method aids in clarifying diagnostic classifications, including provisional and rule-out considerations.
- The format's application in a clinical setting highlights its potential for improving diagnostic record-keeping and analysis.