Evidence map›Paper›PMID 37355154›Full record

ArticleJournal of substance use and addiction treatment2023

Unhealthy alcohol use and brief intervention rates among high and low complexity veterans seeking primary care services in the Veterans Health Administration.

Meilin Jia-Richards, Emily C Williams, Ann-Marie Rosland, Monique Y Boudreaux-Kelly, James F Luther, Joseph Mikolic, Matthew J Chinman, Karin Daniels, Rachel L Bachrach

Open access · greenAbstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 at 3 institutions in 1 country.

Meilin Jia-RichardsDepartment of Psychiatry, University of Pittsburgh, PA, USA.
Emily C WilliamsDepartment of Health Systems and Population Health, University of Washington, School of Public Health, Seattle, WA, USA; Health Services Research & Development (HSR&D) Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.
Ann-Marie RoslandCenter for Health Equity and Research Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA; Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Monique Y Boudreaux-KellyStatCore, Veterans Affairs Pittsburgh Healthcare System Research Office, Pittsburgh, PA, USA.
James F LutherDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Mental Illness Research, Education, and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Joseph MikolicStatCore, Veterans Affairs Pittsburgh Healthcare System Research Office, Pittsburgh, PA, USA.
Matthew J ChinmanCenter for Health Equity and Research Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA; Mental Illness Research, Education, and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA; The RAND Corporation, Pittsburgh, PA, USA.
Karin DanielsCenter for Health Equity and Research Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Rachel L BachrachCenter for Health Equity and Research Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA; Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Mental Illness Research, Education, and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: Rachel.Bachrach2@va.gov.
VA Pittsburgh Healthcare System · USUniversity of Pittsburgh · USUniversity of Washington · US

Funding

INTERDISCIPLINARY ALCOHOL RESEARCH TRAINING PROGRAMT32AA007453 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BROOKE S.G. MOLINA · 1985 to 2026
$3.7M
Implementation Intervention to Improve Care for Unhealthy Alcohol UseIK2HX003087 · VA · VETERANS HEALTH ADMINISTRATION · PI BACHRACH, RACHEL LAUREN · 2020 to 2025
–
HSRD VA IK2 HX003087HSRD VA IK6 HX003767NIAAA NIH HHS T32 AA007453
6 · The paper itself

Abstract

introductionBrief intervention (BI) is recommended for all primary care (PC) patients who screen positive for unhealthy alcohol use; however, patients with multiple chronic health conditions who are at high-risk of hospitalization (i.e., "high complexity" patients) may face disparities in receiving BIs in PC. The current study investigated whether high complexity and low complexity patients in the Veterans Health Administration (VHA) differed regarding screening positive for unhealthy alcohol use, alcohol-use severity, and receipt of BI for those with unhealthy alcohol use.

methodsPatients were veterans receiving PC services at the VHA in a mid-Atlantic region of the United States. The study extracted VHA administrative and clinical data for a total of 282,242 patients who had ≥1 PC visits between 1/1/2014 and 12/31/2014, during which they were screened for unhealthy alcohol use by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C). The study defined high complexity patients as those within and above the 90th percentile of risk for hospitalization per the VHA's Care Assessment Need Score. Logistic regression models assessed if being a high complexity patient was associated with screening positive for unhealthy alcohol use (AUDIT-C ≥ 5), severity of unhealthy alcohol use in those who screened positive (AUDIT-C score range 5-12), and receipt of BI in those who screened positive.

resultsOur sample was 94.5% male, 83% White, 13% Black, 4% other race, and 1.7% Hispanic. A total of 10,813 (3.8%) patients screened positive for unhealthy alcohol use from which we identified 569 (5.3%) high complexity and 10,128 (93.6%) low complexity patients (n = 116 removed due to missing complexity data). Relative to low complexity patients, high complexity patients were less likely to screen positive for unhealthy alcohol use (3.3% vs. 4.1%, AOR = 0.59, p < .001); however, in patients who screened positive, high complexity patients had higher AUDIT-C scores (Mean AUDIT-C = 7.75 vs. 6.87, AOR = 1.46, p < .001) and were less likely to receive a BI (78.0% vs. 92.6%, AOR = 0.42, p < .001).

conclusionsDisparities in BI exist for highly complex patients despite having more severe unhealthy alcohol use. Future research should examine the specific patient- and/or clinic-level factors impeding BI delivery for complex patients.

Indexed as

AlcoholismVeteransCrisis InterventionFemaleHumansMalePrimary Health CareUnited StatesUnited States Department of Veterans AffairsVeterans HealthAlcoholBrief interventionComplex patientsDisparitiesPrimary careScreening

Identifiers

PMID37355154
PMCPMC10527472
OpenAlexW4381943536

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.