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      Facilitating Screening and Brief Interventions in Primary Care: A Systematic Review and Meta‐Analysis of the AUDIT as an Indicator of Alcohol Use Disorders

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          Abstract

          Background

          The Alcohol Use Disorders Identification Test (AUDIT) was developed for use in primary health care settings to identify hazardous and harmful patterns of alcohol consumption, and is often used to screen for alcohol use disorders (AUDs). This study examined the AUDIT as a screening tool for AUDs.

          Methods

          A systematic literature search was performed of electronic bibliographic databases (CINAHL, Embase, ERIC, MEDLINE, PsycINFO, Scopus, and Web of Science) without language or geographic restrictions for original quantitative studies published before September 1, 2018, that assess the AUDIT's ability to screen for AUDs. Random‐effects meta‐regression models were constructed by sex to assess the potential determinants of the AUDIT's specificity and sensitivity. From these models and ecological data from the Global Information System on Alcohol and Health, the true‐ and false‐positive and true‐ and false‐negative proportions were determined. The number of people needed to be screened to treat 1 individual with an AUD was estimated for all countries globally where AUD data exist, using a specificity of 0.95.

          Results

          A total of 36 studies met inclusion criteria for the meta‐regression. The AUDIT score cut‐point was significantly associated with sensitivity and specificity. Standard drink size was found to affect the sensitivity and specificity of the AUDIT for men, but not among women. The AUDIT performs less well in identifying women compared to men, and countries with a low prevalence of AUDs have higher false‐positive rates compared to countries with a higher AUD prevalence.

          Conclusions

          The AUDIT does not perform well as a screening tool for identifying individuals with an AUD, especially in countries and among populations with a low AUD prevalence (e.g., among women), and thus should not be used for this purpose.

          Abstract

          The current meta‐analysis of 36 studies found that, in general, the Alcohol Use Disorders Identification Test ( AUDIT) requires a large number of people to be screened in order to detect one individual with an alcohol use disorder ( AUD). As a screening tool for identifying individuals with an AUD, the AUDIT was found to perform particularly poorly in countries and among populations with a low AUD prevalence (e.g., among women), and thus should not be used for this purpose.

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          Most cited references22

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          Global alcohol exposure between 1990 and 2017 and forecasts until 2030: a modelling study

          Alcohol use is a leading risk factor for global disease burden, and data on alcohol exposure are crucial to evaluate progress in achieving global non-communicable disease goals. We present estimates on the main indicators of alcohol exposure for 189 countries from 1990-2017, with forecasts up to 2030.
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            Alcohol use disorders

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              The relationship of average volume of alcohol consumption and patterns of drinking to burden of disease: an overview.

              As part of a larger study to estimate the global burden of disease attributable to alcohol: to quantify the relationships between average volume of alcohol consumption, patterns of drinking and disease and injury outcomes, and to combine exposure and risk estimates to determine regional and global alcohol-attributable fractions (AAFs) for major disease and injury categories. DESIGN, METHODS, SETTING: Systematic literature reviews were used to select diseases related to alcohol consumption. Meta-analyses of the relationship between alcohol consumption and disease and multi-level analyses of aggregate data to fill alcohol-disease relationships not currently covered by individual-level data were used to determine the risk relationships between alcohol and disease. AAFs were estimated as a function of prevalence of exposure and relative risk, or from combining the aggregate multi-level analyses with prevalence data. Average volume of alcohol consumption was found to increase risk for the following major chronic diseases: mouth and oropharyngeal cancer; oesophageal cancer; liver cancer; breast cancer; unipolar major depression; epilepsy; alcohol use disorders; hypertensive disease; hemorrhagic stroke; and cirrhosis of the liver. Coronary heart disease (CHD), unintentional and intentional injuries were found to depend on patterns of drinking in addition to average volume of alcohol consumption. Most effects of alcohol on disease were detrimental, but for certain patterns of drinking, a beneficial influence on CHD, stroke and diabetes mellitus was observed. Alcohol is related to many major disease outcomes, mainly in a detrimental fashion. While average volume of consumption was related to all disease and injury categories under consideration, pattern of drinking was found to be an additional influencing factor for CHD and injury. The influence of patterns of drinking may be underestimated because pattern measures have not been included in many epidemiologic studies. Generalizability of the results is limited by methodological problems of the underlying studies used in the present analyses. Future studies need to address these methodological issues in order to obtain more accurate risk estimates.
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                Author and article information

                Contributors
                shannon.lange@camh.ca , shannonlange@hotmail.com
                Journal
                Alcohol Clin Exp Res
                Alcohol. Clin. Exp. Res
                10.1111/(ISSN)1530-0277
                ACER
                Alcoholism, Clinical and Experimental Research
                John Wiley and Sons Inc. (Hoboken )
                0145-6008
                1530-0277
                23 August 2019
                October 2019
                : 43
                : 10 ( doiID: 10.1111/acer.v43.10 )
                : 2028-2037
                Affiliations
                [ 1 ] Institute for Mental Health Policy Research Centre for Addiction and Mental Health Toronto ON Canada
                [ 2 ] Dalla Lana School of Public Health University of Toronto Toronto ON Canada
                [ 3 ] Noncommunicable Diseases and Mental Health Department Pan American Health Organization (PAHO) Washington District of Columbia
                [ 4 ] Institute of Medical Science Faculty of Medicine University of Toronto Toronto ON Canada
                [ 5 ] Campbell Family Mental Health Research Institute Centre for Addiction and Mental Health Toronto ON Canada
                [ 6 ] Department of Psychiatry University of Toronto Toronto ON Canada
                [ 7 ] Institute of Clinical Psychology and Psychotherapy & Center of Clinical Epidemiology and Longitudinal Studies (CELOS) Technische Universität Dresden Dresden Germany
                [ 8 ] Department of International Health Projects Institute for Leadership and Health Management I.M. Sechenov First Moscow State Medical University Moscow Russia
                Author notes
                [*] [* ]Reprint requests: Shannon Lange, PhD, Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Russell St, Room T521, Toronto, ON M5S 2S1, Canada; Tel.: +1‐416‐535‐8501 ext. 34512; Fax: +1-416-595-6899; E‐mails: shannon.lange@ 123456camh.ca , shannonlange@ 123456hotmail.com
                Author information
                https://orcid.org/0000-0002-8067-8932
                https://orcid.org/0000-0001-5665-0385
                Article
                ACER14171
                10.1111/acer.14171
                6852009
                31386768
                4d9babda-d802-4c54-9a92-fa9e08b72bf0
                © 2019 The Authors. Alcoholism: Clinical & Experimental Research published by Wiley Periodicals, Inc. on behalf of Research Society on Alcoholism

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 01 May 2019
                : 29 July 2019
                Page count
                Figures: 4, Tables: 0, Pages: 10, Words: 7457
                Funding
                Funded by: Pan American Health Organization , open-funder-registry 10.13039/100011893;
                Funded by: Canadian Institutes of Health Research , open-funder-registry 10.13039/501100000024;
                Categories
                Critical Review
                Reviews
                Custom metadata
                2.0
                October 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.1 mode:remove_FC converted:13.11.2019

                Health & Social care
                alcohol use disorders,alcohol use disorders identification test,classification accuracy,screening

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