Evidence map›Paper›PMID 38099421›Full record

ArticleAlcohol, clinical & experimental research2024

High test-retest reliability of the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire completed by primary care patients in routine care.

Claire B Simon, Connor J McCabe, Theresa E Matson, Malia Oliver, Katharine A Bradley, Kevin A Hallgren

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. The Association of Stigma and Alcohol Treatment Interest Among Women Veterans.Translational issues in psychological science · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Claire B SimonDepartment of Family Medicine, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-4710-6529
Connor J McCabeDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0003-1868-8459
Theresa E MatsonKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-4551-7981
Malia OliverKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Katharine A BradleyKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Kevin A HallgrenDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-8386-3984

Funding

Alcohol Research in the Science/Practitioner ModelT32AA013525 · NIAAA · SAN DIEGO STATE UNIVERSITY · PI EDWARD P RILEY, ANDREA SPADONI TOWNSEND · 2002 to 2026
$8.4M
Psychiatry Primary Care NRSA T-32 AwardT32MH020021 · NIMH · UNIVERSITY OF WASHINGTON · PI JOHN C. FORTNEY, JURGEN UNUTZER · 1998 to 2026
$5.6M
Advancing Clinical Research Training within Addiction Residency ProgramsR25DA033211 · NIDA · BOSTON MEDICAL CENTER · PI Patrick O'Connor, JEFFREY H. SAMET · 2012 to 2026
$4.2M
Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptomsR33AA028073 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2021 to 2023
$1.3M
Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptomsR21AA028073 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2019 to 2020
$439k
Machine learning methods for identifying person-level mechanisms of alcohol use among sexual and gender minority intersectionsK99AA030052 · NIAAA · UNIVERSITY OF WASHINGTON · PI MCCABE, CONNOR J · 2022 to 2023
$348k
NIAAA NIH HHS K99 AA030052NIAAA NIH HHS K99AA030052NIAAA NIH HHS R21 AA028073NIAAA NIH HHS R21AA028073NIAAA NIH HHS R33 AA028073NIAAA NIH HHS R33AA028073NIAAA NIH HHS T32 AA013525NIAAA NIH HHS T32AA013525NIDA NIH HHS R25 DA033211NIDA NIH HHS R25DA033211NIMH NIH HHS T32 MH020021NIMH NIH HHS T32MH020021
6 · The paper itself

Abstract

backgroundThe Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) is a three-item screening measure of unhealthy alcohol use that is widely used in healthcare settings. Evidence shows high test-retest reliability of the AUDIT-C in research samples, but most studies had limited external validity and used small samples that could not be used to evaluate reliability across demographic subgroups and/or screening modalities. This study evaluates the test-retest reliability of the AUDIT-C completed in routine care in a large primary care sample, including across demographic subgroups defined by age, sex, race, ethnicity, and screening modality (i.e., completed in-clinic or online).

methodsWe used electronic health record (EHR) data from Kaiser Permanente Washington. The sample included 18,491 adult primary care patients who completed two AUDIT-C screens 1-21 days apart as part of routine care in 2021. Test-retest reliability was evaluated for AUDIT-C total scores (0-12) and for a binary measure indicating unhealthy alcohol use (scores ≥3 women, ≥4 men). Using previously established cutoffs, we interpreted reliability coefficients >0.75 as indicating "excellent" reliability.

resultsAUDIT-C screens completed in routine care and documented in EHRs had excellent test-retest reliability for total scores (ICC = 0.87, 95% CI: 0.87-0.87) and the binary indicator of unhealthy alcohol use (κ = 0.79, 95% CI: 0.78-0.80). Reliability coefficients were good to excellent across all demographic groups and for in-clinic and online modalities. Higher reliability was seen when both screens were completed through online patient portals (ICC = 0.93, 95% CI: 0.93-0.93) versus in-clinic (ICC = 0.81, 95% CI: 0.79-0.82) or when one screen was completed using each modality (ICC = 0.83, 95% CI: 0.82-0.83). Lower reliability was seen in American Indian/Alaska Native (ICC = 0.82, 95% CI: 0.75-0.87) and multiracial individuals (ICC = 0.82, 95% 0.80-0.84).

conclusionsIn real-world routine care conditions, AUDIT-C screens have excellent test-retest reliability across demographic subgroups and modalities (online and in-clinic). Future research should examine why reliability varies slightly across modalities and demographic subgroups.

Indexed as

AUDIT-Cbehavioral health screeningprimary carepsychometricstest-retest reliability

Identifiers

PMID38099421
PMCPMC10922542

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.