Literature DB >> 22014250

Do words matter? Incongruent responses to inconsistently worded AUDIT-C alcohol screening instruments.

Lauren Matukaitis Broyles1, Adam J Gordon, Susan M Sereika, Christopher M Ryan, Judith A Erlen.   

Abstract

The first 3 questions of the Alcohol Use Disorders Identification Test (AUDIT-C) are often used as a brief alcohol screening instrument. However, the implications of common modifications made to the original AUDIT questions and response options have not been considered. The authors examined existing data from a randomized controlled trial of 310 persons with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) that was testing the efficacy of 2 antiretroviral medication adherence interventions. Logistic regression was used to model the probability of participants having inconsistent AUDIT-C item responses. Three patterns of conflicting responses to the AUDIT-C items were identified. Common item modifications resulted in 14% (n = 48) of the parent study sample reporting conflicting responses across related AUDIT-C items. The odds of having conflicting data were 3 times greater in opioid users (odds ratio [OR] = 3.139, 95% confidence interval [CI] = 1.267-7.777, P = .01) and greater in persons with higher levels of conscientiousness (OR = 1.053, 95% CI = 1.006-1.103, P = .03). Inconsistent question format and response options may impede proper scoring and interpretation of the AUDIT-C. Further discussion and consensus building are needed on the psychometrically ideal version of the AUDIT-C.

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Year:  2011        PMID: 22014250      PMCID: PMC3289051          DOI: 10.1080/08897077.2011.600673

Source DB:  PubMed          Journal:  Subst Abus        ISSN: 0889-7077            Impact factor:   3.716


  8 in total

1.  Three questions can detect hazardous drinkers.

Authors:  A J Gordon; S A Maisto; M McNeil; K L Kraemer; R L Conigliaro; M E Kelley; J Conigliaro
Journal:  J Fam Pract       Date:  2001-04       Impact factor: 0.493

2.  Validation of a single screening question for problem drinking.

Authors:  R Williams; D C Vinson
Journal:  J Fam Pract       Date:  2001-04       Impact factor: 0.493

3.  Screening for hazardous or harmful drinking using one or two quantity-frequency questions.

Authors:  Andrea Canagasaby; Daniel C Vinson
Journal:  Alcohol Alcohol       Date:  2005-03-29       Impact factor: 2.826

4.  The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test.

Authors:  K Bush; D R Kivlahan; M B McDonell; S D Fihn; K A Bradley
Journal:  Arch Intern Med       Date:  1998-09-14

5.  Effectiveness of the derived Alcohol Use Disorders Identification Test (AUDIT-C) in screening for alcohol use disorders and risk drinking in the US general population.

Authors:  Deborah A Dawson; Bridget F Grant; Frederick S Stinson; Yuan Zhou
Journal:  Alcohol Clin Exp Res       Date:  2005-05       Impact factor: 3.455

6.  AUDIT-C as a brief screen for alcohol misuse in primary care.

Authors:  Katharine A Bradley; Anna F DeBenedetti; Robert J Volk; Emily C Williams; Danielle Frank; Daniel R Kivlahan
Journal:  Alcohol Clin Exp Res       Date:  2007-04-19       Impact factor: 3.455

7.  The AUDIT alcohol consumption questions: reliability, validity, and responsiveness to change in older male primary care patients.

Authors:  K A Bradley; M B McDonell; K Bush; D R Kivlahan; P Diehr; S D Fihn
Journal:  Alcohol Clin Exp Res       Date:  1998-11       Impact factor: 3.455

8.  Two brief alcohol-screening tests From the Alcohol Use Disorders Identification Test (AUDIT): validation in a female Veterans Affairs patient population.

Authors:  Katharine A Bradley; Kristen R Bush; Amee J Epler; Dorcas J Dobie; Tania M Davis; Jennifer L Sporleder; Charles Maynard; Marcia L Burman; Daniel R Kivlahan
Journal:  Arch Intern Med       Date:  2003-04-14
  8 in total
  2 in total

1.  Association of Cannabis, Stimulant, and Alcohol use with Mortality Prognosis Among HIV-Infected Men.

Authors:  Joëlla W Adams; Kendall J Bryant; E Jennifer Edelman; David A Fiellin; Julie R Gaither; Adam J Gordon; Kirsha S Gordon; Kevin L Kraemer; Matthew J Mimiaga; Don Operario; Janet P Tate; Jacob J van den Berg; Amy C Justice; Brandon D L Marshall
Journal:  AIDS Behav       Date:  2018-04

2.  Inconsistency in reporting abstention and heavy drinking frequency: associations with sex and socioeconomic status, and potential impacts.

Authors:  Robyn M Kydd; Jennie Connor
Journal:  Alcohol Alcohol       Date:  2015-02-03       Impact factor: 2.826

  2 in total

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