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Korean version of the diagnostic interview for genetic studies: Validity and reliability
Eun-Jeong Joo1, Yeon-Ho Joo, Jin-Pyo Hong
1Eulji University, School of Medicine, Department of Psychiatry, Eulji Hospital, Seoul, Korea, South Korea.
Comprehensive Psychiatry
|May 5, 2004
Summary
The Korean version of the Diagnostic Interview for Genetic Studies (DIGS-K) demonstrates excellent reliability and diagnostic validity for most major psychiatric disorders, including schizophrenia and bipolar disorder.
Area of Science:
- Psychiatry
- Clinical Psychology
- Psychometric Evaluation
Background:
- The Diagnostic Interview for Genetic Studies (DIGS) is a key tool for psychiatric research.
- Adaptation of diagnostic instruments is crucial for cross-cultural research and clinical application.
- Previous validation of DIGS exists, but its Korean adaptation required rigorous testing.
Purpose of the Study:
- To translate and validate the DIGS into Korean (DIGS-K).
- To assess the reliability (inter-rater, test-retest) and diagnostic validity of the DIGS-K.
- To evaluate DIGS-K's utility in diagnosing major psychiatric disorders in a Korean population.
Main Methods:
- Translation of the DIGS into Korean.
- Concurrent validity assessed against the Structured Clinical Interview for DSM-IV (SCID) and clinical diagnoses in 53 patients.
- Inter-rater reliability tested in 24 patients.
- Test-retest reliability assessed in 17 patients.
Main Results:
- DIGS-K showed excellent overall and specific diagnostic validity for most diagnoses.
- Inter-rater and test-retest reliability ranged from fair to excellent for most diagnoses.
- Schizoaffective disorder showed fair test-retest reliability, but lower diagnostic validity and inter-rater reliability.
Conclusions:
- The DIGS-K is a reliable and valid diagnostic interview for major psychiatric disorders in Korean patients.
- The instrument shows strong psychometric properties for conditions like schizophrenia and bipolar disorder.
- Further refinement may be needed for schizoaffective disorder diagnosis using DIGS-K.