Evidence map›Paper›PMID 32527506›Full record

ArticleJournal of substance abuse treatment2020

Attitudes about medications for alcohol use disorder among individuals with serious mental illness: A health belief model analysis.

Elizabeth Bromley, Derjung M Tarn, Michael McCreary, Brian Hurley, Allison J Ober, Katherine E Watkins

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Elizabeth BromleyCenter for Health Services and Society, Jane and Terry Semel Institute, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 10920 Wilshire Blvd, Suite 300, Los Angeles, CA 90024, United States of America; RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States of America. Electronic address: ebromley@mednet.ucla.edu.
Derjung M TarnDepartment of Family Medicine, David Geffen School of Medicine at UCLA, 10880 Wilshire Blvd., Suite 1800, Los Angeles, CA 90024, United States of America.
Michael McCrearyCenter for Health Services and Society, Jane and Terry Semel Institute, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, 10920 Wilshire Blvd, Suite 300, Los Angeles, CA 90024, United States of America.
Brian HurleyDepartment of Family Medicine, David Geffen School of Medicine at UCLA, 10880 Wilshire Blvd., Suite 1800, Los Angeles, CA 90024, United States of America; Los Angeles County Department of Health Services, 313 N Figueroa Street, Los Angeles, CA 90012, United States of America.
Allison J OberRAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States of America.
Katherine E WatkinsRAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States of America.
RAND Corporation · USUniversity of California, Los Angeles · US

Funding

Implementing Medication-Assisted Therapy for Substance Use Disorders in Mental HealthR34AA025480 · NIAAA · RAND CORPORATION · PI HUNTER, SARAH · 2017 to 2019
$863k
NIAAA NIH HHS R34 AA025480
6 · The paper itself

Abstract

backgroundMedications for alcohol use disorder (MAUD) are underutilized in mental health settings. Increasing use of MAUD requires increasing both the availability of these medications and the demand by individuals who could benefit. Few studies have explored the views of individuals with severe mental illness and alcohol use disorder about MAUD. We sought to examine, among individuals treated in publicly funded community mental health clinics, perceived need for and attitudes toward MAUD.

methodsWe conducted 8 focus groups with 87 participants treated in public mental health clinics in Los Angeles County. We aimed to include individuals with a current or past AUD diagnosis and individuals helping others (e.g., a family member) who drink. We examined responses using domains associated with the Health Belief Model to identify factors that shape acceptance of MAUD.

resultsParticipants were 53% female; most were minorities. Average age was 47 years (SD = 11). Twenty-four reported never drinking, 13 of whom had a current or past diagnosis of AUD. Twenty-two reported drinking 4 or more times per week. Three-quarters had not heard of naltrexone. Participants understood that alcohol use has severe adverse consequences and perceived themselves to be highly susceptible to these consequences. Regarding attitudes toward MAUD, participants described an internal locus of control (e.g., their own desires, actions, and effort) as central to addressing problem drinking; this shaped their views that MAUD would have only modest benefits and potentially high burden. Those individuals who had tried MAUD expressed the most optimism about its effectiveness.

conclusionsParticipants worried MAUD would impede the development of self-control over drinking by fostering dependence on medication and undermining self-discipline. Client education and counseling that emphasizes MAUD as a tool to build clients' self-control may increase demand for these medications in mental health settings.

Indexed as

AlcoholismAlcohol DrinkingAttitudeFemaleHealth Belief ModelHumansInfant, NewbornMaleNaltrexoneNaltrexoneAlcohol use disordersCo-occurring disordersHealth belief modelMedication-assisted treatmentMedications for addiction treatmentSevere mental illness

Identifiers

PMID32527506
PMCPMC7306264
OpenAlexW3020676238

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.