Background: The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) is a brief alcohol screening test and a candidate for inclusion in recommended screening and brief intervention protocols for acute injury patients. The objective of the current study was to examine the performance of the AUDIT-C to risk stratify injury patients with regard to their probability of having an alcohol use disorder.
Methods: Participants (n = 1,004) were from a multisite Australian acute injury study. Stratum-specific likelihood ratio (SSLR) analysis was used to examine the performance of previously recommended AUDIT-C risk zones based on a dichotomous cut-point (0 to 3, 4 to 12) and risk zones derived from SSLR analysis to estimate the probability of a current alcohol use disorder.
Results: Almost a quarter (23%) of patients met criteria for a current alcohol use disorder. SSLR analysis identified multiple AUDIT-C risk zones (0 to 3, 4 to 5, 6, 7 to 8, 9 to 12) with a wide range of posttest probabilities of alcohol use disorder, from 5 to 68%. The area under receiver operating characteristic curve (AUROC) score was 0.82 for the derived AUDIT-C zones and 0.70 for the recommended AUDIT-C zones. A comparison between AUROCs revealed that overall the derived zones performed significantly better than the recommended zones in being able to discriminate between patients with and without alcohol use disorder.
Conclusions: The findings of SSLR analysis can be used to improve estimates of the probability of alcohol use disorder in acute injury patients based on AUDIT-C scores. In turn, this information can inform clinical interventions and the development of screening and intervention protocols in a range of settings.
Keywords: Alcohol; Alcohol Use Disorder Identification Test; Injury; Screening; Stratum-Specific Likelihood Ratio.
Copyright © 2013 by the Research Society on Alcoholism.