Alcohol Use Disorders Identification Test (AUDIT): Validation of the Persian version in an Iranian population

Background and aims: It is important to incorporate a screening test for unhealthy alcohol use into primary and other health care settings. The Alcohol Use Disorders Identification Test (AUDIT) is one of the most commonly used of such tests. The objectives of this study were to evaluate the psychometric properties of the Persian version of AUDIT, and to determine the best cut-off points for detection of hazardous drinking and alcohol use disorders. Methods: We translated the AUDIT to Persian and assessed its face and content validity, reliability, and criterion validity against the diagnosis of alcohol use disorders according to the International Classification of Diseases, 10th Revision (ICD-10) diagnostic guidelines, as assessed using the Composite International Diagnostic Interview (CIDI). We determined the best cut-off points for detection of hazardous use, harmful use, and dependence using receiver operating characteristic (ROC) curve analysis. Psychometric properties were assessed in a sample of 400 participants attending medium-term residential drug treatment centers located in Tehran, Iran. Results: The Persian AUDIT had high internal consistency (Cronbach's alpha = 0.88) and test-retest reliability (intraclass correlation coefficient = 0.84). The questionnaire also had excellent face and content validity as well as criterion validity when compared with CIDI. The best cut-off points for alcohol dependence, harmful use, and hazardous use were 11 (sensitivity = 95.6, specificity = 80.4), 7 (sensitivity = 85.5, specificity = 84.2), and 5 (sensitivity = 87.6, specificity = 92.9), respectively. Conclusions: The Persian version of the AUDIT has excellent psychometric properties as a screening tool for alcohol use disorders and hazardous alcohol use in settings in which alcohol use is common. Further research on the AUDIT in the general population and in primary health care settings is warranted. (C) 2019 Elsevier Inc. All rights reserved.