Background: The AUDIT-C is an extensively validated screen for unhealthy alcohol use (i.e. drinking above recommended limits or alcohol use disorder), which consists of three questions about alcohol consumption. AUDIT-C scores ≥4 points for men and ≥3 for women are considered positive screens based on US validation studies that compared the AUDIT-C to "gold standard" measures of unhealthy alcohol use from independent, detailed interviews. However, results of screening--positive or negative based on AUDIT-C scores--can be inconsistent with reported drinking on the AUDIT-C questions. For example, individuals can screen positive based on the AUDIT-C score while reporting drinking below US recommended limits on the same AUDIT-C. Alternatively, they can screen negative based on the AUDIT-C score while reporting drinking above US recommended limits. Such inconsistencies could complicate interpretation of screening results, but it is unclear how often they occur in practice.

Methods: This study used AUDIT-C data from respondents who reported past-year drinking on one of two national US surveys: a general population survey (N = 26,610) and a Veterans Health Administration (VA) outpatient survey (N = 467,416). Gender-stratified analyses estimated the prevalence of AUDIT-C screen results--positive or negative screens based on the AUDIT-C score--that were inconsistent with reported drinking (above or below US recommended limits) on the same AUDIT-C.

Results: Among men who reported drinking, 13.8% and 21.1% of US general population and VA samples, respectively, had screening results based on AUDIT-C scores (positive or negative) that were inconsistent with reported drinking on the AUDIT-C questions (above or below US recommended limits). Among women who reported drinking, 18.3% and 20.7% of US general population and VA samples, respectively, had screening results that were inconsistent with reported drinking.

Limitations: This study did not include an independent interview gold standard for unhealthy alcohol use and therefore cannot address how often observed inconsistencies represent false positive or negative screens.

Conclusions: Up to 21% of people who drink alcohol had alcohol screening results based on the AUDIT-C score that were inconsistent with reported drinking on the same AUDIT-C. This needs to be addressed when training clinicians to use the AUDIT-C.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3946205PMC
http://dx.doi.org/10.1186/1940-0640-9-2DOI Listing

Publication Analysis

Top Keywords

based audit-c
28
reported drinking
28
recommended limits
20
inconsistent reported
20
audit-c
18
drinking audit-c
16
drinking recommended
16
screening based
12
audit-c scores
12
audit-c questions
12

Similar Publications

Background And Aims: Primary care systems often screen for unhealthy alcohol use with brief self-report tools such as the 3-item Alcohol Use Disorders Identification Test for consumption (AUDIT-C). There is little research examining whether change in alcohol use measured on the AUDIT-C captures meaningful change in outcomes affected by alcohol use. This study aimed to measure the association between change in AUDIT-C and change in all-cause hospitalization risk, measured in the year after each AUDIT-C.

View Article and Find Full Text PDF

Excessive alcohol consumption is among the leading causes of hospitalisation in high-income countries and contributes to over 200 medical conditions. We aimed to determine the prevalence and characteristics of alcohol use disorder (AUD), describe the distribution of AUD in ICD-10 discharge diagnosis groups and ascertain any relationship between them in secondary care. The study group was a retrospective cohort of adult patients admitted to Nottingham University Hospital (NUH) between 4 April 2009 and 31 March 2020.

View Article and Find Full Text PDF

Background: Dry January is a one-month alcohol abstinence challenge for the general population running since 2013 in the United Kingdom, and 2020 in France. Dry January has gained increasing popularity among the public, but studies assessing the individual characteristics associated with awareness and participation remain sparse.

Methods: Using quota sampling, a representative sample of 5,000 French adults completed an online cross-sectional survey between 8 and 17th January 2024.

View Article and Find Full Text PDF

Background: Screening and brief intervention (BI) can reduce risky alcohol use but has not been widely implemented in primary care settings. We sought to implement a screening and telephone-based program within a Federally Qualified Health Center (FQHC).

Design: Prior to this program, adult patients were routinely screened using AUDIT-C with no further systematic follow-up.

View Article and Find Full Text PDF
Article Synopsis
  • Problematic alcohol use (PAU) is common among bereaved adults, with nearly one-third of participants in the study screening positive for PAU, which is higher than the general population.
  • Factors such as time since the death and having depression or prolonged grief disorder significantly increase the likelihood of experiencing PAU.
  • Despite the high rates of PAU, only about half of those diagnosed received mental health services, indicating a gap in support for bereaved individuals.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!