Evidence map›Paper›PMID 30271280›Full record

ArticleAddictive disorders & their treatment2018

Predictors of Treatment Referral after AUDIT-C Screening for Heavy Drinking.

Michelle S Naps, Daniel Maass, Henry R Kranzler, Rachel V Smith, Erin Ingram, David W Oslin

Abstract read
In one paragraph

Article in Addictive disorders & their treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Michelle S NapsDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Daniel MaassDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Henry R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Rachel V SmithVeterans Integrated Service Network 4, Mental Illness Research, Education, and Clinical Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104.
Erin IngramVeterans Integrated Service Network 4, Mental Illness Research, Education, and Clinical Center, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104.
David W OslinDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.

Funding

Non-response to NTX next steps in managing alcoholismR01AA014851 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI OSLIN, DAVID W. · 2003 to 2007
$3.3M
Pharmacogenetic Response to Naltrexone for Alcohol DependenceR01AA017164 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI OSLIN, DAVID W. · 2008 to 2012
$3.0M
NIAAA NIH HHS R01 AA014851NIAAA NIH HHS R01 AA017164
6 · The paper itself

Abstract

objectivesThe Veterans Health Administration has implemented annual screening for heavy drinking during primary care encounters using the 3-item Alcohol Use Disorders Identification Test - Consumption (AUDIT-C) questionnaire and made specialized services available to patients with alcohol use disorders (AUDs). We sought to identify the factors that influence whether a patient who has an elevated AUDIT-C score receives appropriate care in the context of an integrated mental health services program. We focused on higher AUDIT-C scores, as these are seen in individuals who are most likely to have a moderate-to-severe AUD and more severe alcohol-related consequences.

methodsUtilizing electronic health record data, we conducted a four-year retrospective study of veterans at high-risk for an AUD, based upon an AUDIT-C score >=8 recorded during a primary care encounter at a Veterans Affairs Medical Center and its community-based outpatient clinics.

resultsIn multivariate analysis, the predictors of treatment referral were younger age, being non-white, higher AUDIT-C score, and main campus location. Among patients referred for treatment, younger age and being white were associated with an increased likelihood of completing a pre-treatment assessment.

conclusionsEfforts to increase the consistency of treatment referrals, according to established clinical guidelines, could enhance the effectiveness of AUDIT-C screening during primary care visits. Subgroups of patients who may benefit from such efforts include individuals with high-risk but sub-maximal AUDIT-C scores, older patients, and patients who are seen at community-based outpatient clinics.

Identifiers

PMID30271280
PMCPMC6159906

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