Literature DB >> 9669567

Screening for problem drinking: comparison of CAGE and AUDIT. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test.

K A Bradley1, K R Bush, M B McDonell, T Malone, S D Fihn.   

Abstract

OBJECTIVE: To compare self-administered versions of three questionnaires for detecting heavy and problem drinking: the CAGE, the Alcohol Use Disorders Identification Test (AUDIT), and an augmented version of the CAGE.
DESIGN: Cross-sectional surveys.
SETTING: Three Department of Veterans Affairs general medical clinics. PATIENTS: Random sample of consenting male outpatients who consumed at least 5 drinks over the past year ("drinkers"). Heavy drinkers were oversampled. MEASUREMENTS: An augmented version of the CAGE was included in a questionnaire mailed to all patients. The AUDIT was subsequently mailed to "drinkers." Comparison standards, based on the tri-level World Health Organization alcohol consumption interview and the Diagnostic Interview Schedule, included heavy drinking (> 14 drinks per week typically or > or = 5 drinks per day at least monthly) and active DSM-IIIR alcohol abuse or dependence (positive diagnosis and at least one alcohol-related symptom in the past year). Areas under receiver operating characteristic curves (AUROCs) were used to compare screening questionnaires. MAIN
RESULTS: Of 393 eligible patients, 261 (66%) returned the AUDIT and completed interviews. For detection of active alcohol abuse or dependence, the CAGE augmented with three more questions (AUROC 0.871) performed better than either the CAGE alone or AUDIT (AUROCs 0.820 and 0.777, respectively). For identification of heavy-drinking patients, however, the AUDIT performed best (AUROC 0.870). To identify both heavy drinking and active alcohol abuse or dependence, the augmented CAGE and AUDIT both performed well, but the AUDIT was superior (AUROC 0.861).
CONCLUSIONS: For identification of patients with heavy drinking or active alcohol abuse or dependence, the self-administered AUDIT was superior to the CAGE in this population.

Entities:  

Mesh:

Year:  1998        PMID: 9669567      PMCID: PMC1496970     

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  42 in total

1.  Health risk factor surveys of commercial plan- and Medicaid-enrolled members of health-maintenance organizations--Michigan, 1995.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1997-10-03       Impact factor: 17.586

Review 2.  How much is too much? Advising patients about safe levels of alcohol consumption.

Authors:  K A Bradley; D M Donovan; E B Larson
Journal:  Arch Intern Med       Date:  1993-12-27

3.  Detection by the CAGE of alcoholism or heavy drinking in primary care outpatients and the general population.

Authors:  A W Chan; E A Pristach; J W Welte
Journal:  J Subst Abuse       Date:  1994

4.  The effects of order of questions on reported alcohol consumption.

Authors:  T C Harford
Journal:  Addiction       Date:  1994-04       Impact factor: 6.526

5.  Health and behavioral consequences of binge drinking in college. A national survey of students at 140 campuses.

Authors:  H Wechsler; A Davenport; G Dowdall; B Moeykens; S Castillo
Journal:  JAMA       Date:  1994-12-07       Impact factor: 56.272

6.  Alcoholism screening questionnaires: are they valid in elderly medical outpatients?

Authors:  T V Jones; B A Lindsey; P Yount; R Soltys; B Farani-Enayat
Journal:  J Gen Intern Med       Date:  1993-12       Impact factor: 5.128

7.  Detection of problem drinkers: the Alcohol Use Disorders Identification Test (AUDIT).

Authors:  A Schmidt; K L Barry; M F Fleming
Journal:  South Med J       Date:  1995-01       Impact factor: 0.954

8.  Screening with the Alcohol use Disorders Identification Test (AUDIT) in an inner-city population.

Authors:  J H Isaacson; R Butler; M Zacharek; A Tzelepis
Journal:  J Gen Intern Med       Date:  1994-10       Impact factor: 5.128

9.  Use of the TWEAK test in screening for alcoholism/heavy drinking in three populations.

Authors:  A W Chan; E A Pristach; J W Welte; M Russell
Journal:  Alcohol Clin Exp Res       Date:  1993-12       Impact factor: 3.455

10.  A comparison of DSM-III-R, DSM-IV and ICD-10 substance use disorders diagnoses in 1922 men and women subjects in the COGA study. Collaborative Study on the Genetics of Alcoholism.

Authors:  M A Schuckit; V Hesselbrock; J Tipp; R Anthenelli; K Bucholz; S Radziminski
Journal:  Addiction       Date:  1994-12       Impact factor: 6.526

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  59 in total

1.  Demographic, physical, and mental health factors associated with deployment of U.S. Army soldiers to the Persian Gulf.

Authors:  N S Bell; P J Amoroso; J O Williams; M M Yore; C C Engel; L Senier; A C DeMattos; D H Wegman
Journal:  Mil Med       Date:  2000-10       Impact factor: 1.437

2.  Drinking histories of fatally injured drivers.

Authors:  S P Baker; E R Braver; L-H Chen; G Li; A F Williams
Journal:  Inj Prev       Date:  2002-09       Impact factor: 2.399

3.  Readiness to change in primary care patients who screened positive for alcohol misuse.

Authors:  Emily C Williams; Daniel R Kivlahan; Richard Saitz; Joseph O Merrill; Carol E Achtmeyer; Kinsey A McCormick; Katharine A Bradley
Journal:  Ann Fam Med       Date:  2006 May-Jun       Impact factor: 5.166

4.  Financial well-being and postdeployment adjustment among Iraq and Afghanistan war veterans.

Authors:  Eric B Elbogen; Sally C Johnson; H Ryan Wagner; Virginia M Newton; Jean C Beckham
Journal:  Mil Med       Date:  2012-06       Impact factor: 1.437

5.  Post-traumatic stress disorder and medication adherence: results from the Mind Your Heart study.

Authors:  Ian M Kronish; Donald Edmondson; Yongmei Li; Beth E Cohen
Journal:  J Psychiatr Res       Date:  2012-07-16       Impact factor: 4.791

6.  Pastoral care use among post-9/11 veterans who screen positive for mental health problems.

Authors:  Jason A Nieuwsma; Alice K Fortune-Greeley; George L Jackson; Keith G Meador; Jean C Beckham; Eric B Elbogen
Journal:  Psychol Serv       Date:  2014-06-16

7.  Temporal stability of DSM-5 posttraumatic stress disorder criteria in a problem-drinking sample.

Authors:  Terence M Keane; Amy Rubin; Mark Lachowicz; Deborah Brief; Justin L Enggasser; Monica Roy; John Hermos; Eric Helmuth; David Rosenbloom
Journal:  Psychol Assess       Date:  2014-06-16

8.  Posttraumatic stress disorder and health-related quality of life in patients with coronary heart disease: findings from the Heart and Soul Study.

Authors:  Beth E Cohen; Charles R Marmar; Thomas C Neylan; Nelson B Schiller; Sadia Ali; Mary A Whooley
Journal:  Arch Gen Psychiatry       Date:  2009-11

9.  Association between alcohol use and cardiovascular self-care behaviors among male hypertensive Veterans Affairs outpatients: a cross-sectional study.

Authors:  Stacey E Rittmueller; Madeleine S Frey; Emily C Williams; Haili Sun; Chris L Bryson; Katharine A Bradley
Journal:  Subst Abus       Date:  2014-06-25       Impact factor: 3.716

10.  Cost-effectiveness of an opportunistic screening programme and brief intervention for excessive alcohol use in primary care.

Authors:  Luqman Tariq; Matthijs van den Berg; Rudolf T Hoogenveen; Pieter H M van Baal
Journal:  PLoS One       Date:  2009-05-27       Impact factor: 3.240

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