The Alcohol Use Disorders Identification Test (AUDIT): A review of recent research
Abstract
Background: Efficient, inexpensive screening for early stage alcohol problems is important in health care settings. The Alcohol Use Disorders Identification Test (AUDIT) has been studied extensively to establish its value in this regard. Methods: A literature search that used EtOH as a database was conducted to identify studies published on the AUDIT through September 2001. Keywords used for the search were “Alcohol Use Disorders Identification Test” and “AUDIT.” All studies reporting psychometric properties of the measure were reviewed with particular attention being given to the period 1996 and later. A small number of additional references were located by noting their citation in other studies reviewed. Results: Although more research is needed on non‐English versions to establish their psychometric properties, at least in its English edition, the AUDIT demonstrates sensitivities and specificities comparable, and typically superior, to those of other self‐report screening measures. Test‐retest reliability and internal consistency are also quite favorable. For males, the AUDIT‐C, a shortened version of the AUDIT, appears approximately equal in validity to the full scale. Conclusions: Recent research continues to support use of the AUDIT as a means of screening for alcohol use disorders in health care settings in the United States.
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The AUDIT version used classified alcohol use disorder by a total score of at least 8 or a score of at least 4 on the dependence items, and it has shown agreement with clinical diagnoses at AUC 0.78-0.91.
“The version of the AUDIT we used, which defined alcohol use disorder as either a total score of 8+ or a score of 4+ on the AUDIT dependence questions (Babor, Higgins-Biddle, Saunders, & Monteiro, 2001), has been shown to have concordance with clinical diagnoses in the range AUC = 0.78–0.91 (Reinert & Allen, 2002).”
From WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. (2018) · cites this paper as Reinert & Allen, 2002
AUDIT is widely used and gives reliable results.
“The instrument is widely used and gives reliable results [64].”
The AUDIT version conforms with clinical diagnoses in the AUC range of 0.78-0.91.
“This AUDIT version conforms with clinical diagnoses in the AUC range of 0.78–0.91 (45).”
From Mental health services for German university students: acceptance of intervention targets and preference for delivery modes (2024) · cites this paper as [45]
Alcohol abuse or dependence were assessed using AUDIT, with a total score of 16+ or a score 8-15 with 4+ on AUDIT dependence questions as definition for alcohol use disorder; AUDIT concordance with clinical diagnoses is AUC = 0.78 to 0.91.
“Alcohol abuse or dependence were assessed using a version of the alcohol use disorders identification test (AUDIT; Saunders et al., 1993), with a total score of 16+ or a score 8 -15 with 4+ on the AUDIT dependence questions as a definition for alcohol use disorder (Babor, Higgins -Biddle, Saunders, & Monteiro, 2001). The concordance of the AUDIT with clinical diagnoses is in the range of AUC =”
From Increasing intentions to use mental health services among university students. Results of a pilot randomized controlled trial within the World Health Organization's World Mental Health International College Student Initiative (2019) · cites this paper as Reinert & Allen, 2002
The AUDIT scoring version used has concordance with clinical diagnosis in the range AUC = 0.78-0.91.
“This version of AUDIT scoring has concordance with clinical diagnosis in the range AUC = 0.78-0.91 (Reinert & Allen, 2002).”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Reinert & Allen, 2002
The survey uses well-validated screening scales, with good concordance with blinded clinical diagnoses (AUC = 0.70-0.78 for mental disorders and 0.78-0.91 for alcohol use disorder).
“While the survey uses well-validated screening scales, with good concordance with blinded clinical diagnoses (in the range AUC = 0.70-0.78 for mental disorders(Kessler et al., 2013) and 0.78-0.91 for alcohol use disorder (Reinert & Allen, 2002)”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Reinert & Allen, 2002
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“The instrument is widely used and gives reliable results [64].”
Method
- Authors
- Reinert, D. F., & Allen, J. P.
- Affiliations
- Conception Seminary College (US)
- Corresponding author
- Reinert, Duane F.
- ORCID
- Reinert, Duane F.
- Venue
- Alcoholism: Clinical and Experimental Research
- Publisher
- Wiley
- Published
- 2002-02
- Volume
- 26
- Issue
- 2
- Pages
- 272-279
- ISSN
- 0145-6008 (ISSN-L)
- 1530-0277
- OpenAlex
- W2022532183
- Semantic Scholar
- f7fd9aaa12cbb77a91fa22bc269ab32138fbda70
- Cited by
- 1,143
- References
- 66
- Citations by year
- 2026: 18 · 2025: 33 · 2024: 30 · 2023: 57 · 2022: 38 · 2021: 54 · 2020: 58 · 2019: 58 · 2018: 54 · 2017: 54 · 2016: 54 · 2015: 65 · 2014: 71 · 2013: 64 · 2012: 61
- FWCI
- 22.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Alcoholism Clinical and Experimental Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- Alcohol Use Disorders Identification Test, auditing, alcohol use disorder screening, psychometric properties, sensitivity and specificity, test-retest reliability, internal consistency, AUDIT-C, healthcare settings
- MeSH terms
- Alcoholism, Humans, Mass Screening, Surveys and Questionnaires, Sensitivity and Specificity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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