Evidence map›Paper›PMID 34398395›Full record

ArticleJournal of general internal medicine2022

Practical Assessment of Alcohol Use Disorder in Routine Primary Care: Performance of an Alcohol Symptom Checklist.

Kevin A Hallgren, Theresa E Matson, Malia Oliver, Katie Witkiewitz, Jennifer F Bobb, Amy K Lee, Ryan M Caldeiro, Daniel Kivlahan, Katharine A Bradley

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Guideline
  2. Screening for high-risk drinking and alcohol use disorder: update of the 2023 national clinical practice guideline.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Guideline
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  11. Rasch analysis of DSM-5 alcohol use disorder in a large inpatient sample.Alcohol, clinical & experimental research · 2025
    Article
  12. Article
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  15. Review
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  17. Observational
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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

9 authors.

Kevin A HallgrenDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA. khallgre@uw.edu.ORCID 0000-0001-8386-3984
Theresa E MatsonDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, USA.
Malia OliverKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Katie WitkiewitzDepartment of Psychology and Center on Alcohol, Substance Use, and Addictions, University of New Mexico, Albuquerque, NM, USA.
Jennifer F BobbKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Amy K LeeKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Ryan M CaldeiroKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Daniel KivlahanCenter of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research and Development, Veteran Affairs Puget Sound Health Care System, Seattle, WA, USA.
Katharine A BradleyDepartment of Health Systems and Population Health, University of Washington, Seattle, WA, USA.

Funding

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
Training Clinicians in Implementation Research to Improve Alcohol-related CareK24AA022128 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BRADLEY, KATHARINE ANTHONY · 2016 to 2020
$876k
Developing a tool to assess, provide feedback, and facilitate discussion of mechanisms of change in frontline addiction treatmentK01AA024796 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2016 to 2020
$870k
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
NIAAA NIH HHS K01 AA024796NIAAA NIH HHS K24 AA022128NIAAA NIH HHS R21 AA028073NIAAA NIH HHS R33 AA028073
6 · The paper itself

Abstract

backgroundAlcohol use disorder (AUD) is highly prevalent but underrecognized and undertreated in primary care settings. Alcohol Symptom Checklists can engage patients and providers in discussions of AUD-related care. However, the performance of Alcohol Symptom Checklists when they are used in routine care and documented in electronic health records (EHRs) remains unevaluated.

objectiveTo evaluate the psychometric performance of an Alcohol Symptom Checklist in routine primary care.

designCross-sectional study using item response theory (IRT) and differential item functioning analyses of measurement consistency across age, sex, race, and ethnicity. PATIENTS: Patients seen in primary care in the Kaiser Permanente Washington Healthcare System who reported high-risk drinking on the Alcohol Use Disorder Identification Test Consumption screening measure (AUDIT-C ≥ 7) and subsequently completed an Alcohol Symptom Checklist between October 2015 and February 2020. MAIN MEASURE: Alcohol Symptom Checklists with 11 items assessing AUD criteria defined in the Diagnostic and Statistical Manual for Mental Disorders, 5th edition (DSM-5), completed by patients during routine medical care and documented in EHRs. KEY

resultsAmong 11,464 patients who screened positive for high-risk drinking and completed an Alcohol Symptom Checklist (mean age 43.6 years, 30.5% female), 54.1% reported ≥ 2 DSM-5 AUD criteria (threshold for AUD diagnosis). IRT analyses demonstrated that checklist items measured a unidimensional continuum of AUD severity. Differential item functioning was observed for some demographic subgroups but had minimal impact on accurate measurement of AUD severity, with differences between demographic subgroups attributable to differential item functioning never exceeding 0.42 points of the total symptom count (of a possible range of 0-11).

conclusionsAlcohol Symptom Checklists used in routine care discriminated AUD severity consistently with current definitions of AUD and performed equitably across age, sex, race, and ethnicity. Integrating symptom checklists into routine care may help inform clinical decision-making around diagnosing and managing AUD.

Indexed as

Alcohol-Related DisordersAdultAlcoholismChecklistCross-Sectional StudiesDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMalePrimary Health Careaddictionalcoholdiagnosisdifferential item functioningitem response theoryprimary carescreening

Identifiers

PMID34398395
PMCPMC9198160

What OpenQuestion holds

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Registered trials

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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.