Identifying Aboriginal-specific AUDIT-C and AUDIT-3 cutoff scores for at-risk, high-risk, and likely dependent drinkers using measures of agreement with the 10-item Alcohol Use Disorders Identification Test

Bianca Calabria; Anton Clifford; Anthony P Shakeshaft; Katherine M Conigrave; Lynette Simpson; Donna Bliss; Julaine Allan

doi:10.1186/1940-0640-9-17

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Identifying Aboriginal-specific AUDIT-C and AUDIT-3 cutoff scores for at-risk, high-risk, and likely dependent drinkers using measures of agreement with the 10-item Alcohol Use Disorders Identification Test

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Identifying Aboriginal-specific AUDIT-C and AUDIT-3 cutoff scores for at-risk, high-risk, and likely dependent drinkers using measures of agreement with the 10-item Alcohol Use Disorders Identification Test

Bianca Calabria, Anton Clifford, Anthony P Shakeshaft, Katherine M Conigrave, Lynette Simpson, Donna Bliss and Julaine Allan

Addiction Science & Clinical Practice, Vol.9, pp.1-12

2014

DOI: https://doi.org/10.1186/1940-0640-9-17

PMID: 25179547

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Abstract

Aboriginal

Measures

Alcohol

AUDIT-3

AUDIT-C

AUDIT

Background The Alcohol Use Disorders Identification Test (AUDIT) is a 10-item alcohol screener that has been recommended for use in Aboriginal primary health care settings. The time it takes respondents to complete AUDIT, however, has proven to be a barrier to its routine delivery. Two shorter versions, AUDIT-C and AUDIT-3, have been used as screening instruments in primary health care. This paper aims to identify the AUDIT-C and AUDIT-3 cutoff scores that most closely identify individuals classified as being at-risk drinkers, high-risk drinkers, or likely alcohol dependent by the 10-item AUDIT. Methods Two cross-sectional surveys were conducted from June 2009 to May 2010 and from July 2010 to June 2011. Aboriginal Australian participants (N = 156) were recruited through an Aboriginal Community Controlled Health Service, and a community-based drug and alcohol treatment agency in rural New South Wales (NSW), and through community-based Aboriginal groups in Sydney NSW. Sensitivity, specificity, and positive and negative predictive values of each score on the AUDIT-C and AUDIT-3 were calculated, relative to cutoff scores on the 10-item AUDIT for at-risk, high-risk, and likely dependent drinkers. Receiver operating characteristic (ROC) curve analyses were conducted to measure the detection characteristics of AUDIT-C and AUDIT-3 for the three categories of risk. Results The areas under the receiver operating characteristic (AUROC) curves were high for drinkers classified as being at-risk, high-risk, and likely dependent. Conclusions Recommended cutoff scores for Aboriginal Australians are as follows: at-risk drinkers AUDIT-C ≥ 5, AUDIT-3 ≥ 1; high-risk drinkers AUDIT-C ≥ 6, AUDIT-3 ≥ 2; and likely dependent drinkers AUDIT-C ≥ 9, AUDIT-3 ≥ 3. Adequate sensitivity and specificity were achieved for recommended cutoff scores. AUROC curves were above 0.90.

Details

Title: Identifying Aboriginal-specific AUDIT-C and AUDIT-3 cutoff scores for at-risk, high-risk, and likely dependent drinkers using measures of agreement with the 10-item Alcohol Use Disorders Identification Test
Authors: Bianca Calabria (Corresponding Author) - UNSW Sydney
Anton Clifford - The University of Queensland
Anthony P Shakeshaft - UNSW Sydney
Katherine M Conigrave - Royal Prince Alfred Hospital
Lynette Simpson - South Western Sydney Local Health District
Donna Bliss - Yoorana Gunya Family Healing Centre Aboriginal Corporation (Australia)
Julaine Allan - The Lyndon Community (Australia)
Publication details: Addiction Science & Clinical Practice, Vol.9, pp.1-12
Publisher: BioMed Central Ltd.
Date published: 2014
DOI: 10.1186/1940-0640-9-17
ISSN: 1940-0640
PMID: 25179547
Copyright note: © 2014 Calabria et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
Grant note: This work was supported by the Australian Government Department of Health and Ageing, by a linkage grant from the Australian Research Council, and by a grant from the National Drug Research Institute, Curtin University.
Organisation Unit: School of Health - Psychology
Language: English
Record Identifier: 991242161202621
Output Type: Journal article

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