Evidence map›Paper›PMID 25042213›Full record

Trial reportDrug and alcohol dependence2014

Effect of a primary care based brief intervention trial among risky drug users on health-related quality of life.

Sebastian E Baumeister, Lillian Gelberg, Barbara D Leake, Julia Yacenda-Murphy, Mani Vahidi, Ronald M Andersen

3 registry-linked trialsAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT01942876 phase2 / phase3completednot on this map

Preventing Drug Use in Low Income Clinic Populations

TypeinterventionalSponsorUniversity of California, Los AngelesRan2011 to 2013Enrolled411ConditionsDrug Use, Harmful UseArmsQuit Using Drugs Intervention Trial, Health behavior maintenance
NCT04706624 nacompletednot on this mapstarted 2021, after this paper: background citation

Screen, Treat and Retain Meth-using People With Opioid Use Disorders at Methadone Clinics

TypeinterventionalSponsorHanoi Medical UniversityRan2021 to 2025Enrolled667ConditionsMethamphetamine Abuse, Opioid-use Disorder, HIV SeropositivityArmsContingency management (12 weeks), Contingency management (6 weeks), SMS reminders, Matrix only, Matrix + Contingency management
NCT04935606 nacompletednot on this mapstarted 2021, after this paper: background citation

mHealth to Enhance & Sustain Drug Use Reduction of the QUIT BI in Primary Care

TypeinterventionalSponsorUniversity of California, Los AngelesRan2021 to 2026Enrolled457ConditionsDrug UseArmsUsual Care, QUIT Intervention (doctor brief advice, video doctor, health coaching sessions at 2- and 6-weeks), QUIT-Mobile (QUIT Intervention plus weekly mobile-web app or text message weekly self-monitoring, automated feedback over 12 months)
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. The Empirical Foundations of Telemedicine Interventions in Primary Care.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2016
    Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. 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

6 authors.

Sebastian E BaumeisterInstitute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Strasse 48, 17489 Greifswald, Germany. Electronic address: sebastian.baumeister@uni-greifswald.de.
Lillian GelbergDepartment of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, 10880 Wilshire Boulevard, Suite 1880, Los Angeles, CA 90095-7078, United States; Department of Health Policy and Management, Fielding School of Public Health, University of California Los Angeles, 650 Charles Young Dr. S. 31-269 CHS, Box 951772, Los Angeles, CA 90095-1772, United States; Office of Healthcare Transformation and Innovation, VA Greater Los Angeles Healthcare System, 11301 Wilshire Blvd, BLDG 500, Room 1601, Los Angeles, CA 90073, United States.
Barbara D LeakeDepartment of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, 10880 Wilshire Boulevard, Suite 1880, Los Angeles, CA 90095-7078, United States.
Julia Yacenda-MurphyDepartment of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, 10880 Wilshire Boulevard, Suite 1880, Los Angeles, CA 90095-7078, United States.
Mani VahidiDepartment of Family Medicine, David Geffen School of Medicine, University of California Los Angeles, 10880 Wilshire Boulevard, Suite 1880, Los Angeles, CA 90095-7078, United States.
Ronald M AndersenDepartment of Health Policy and Management, Fielding School of Public Health, University of California Los Angeles, 650 Charles Young Dr. S. 31-269 CHS, Box 951772, Los Angeles, CA 90095-1772, United States.

Funding

TRAINING COREP20MD000182 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI RODRIGUEZ, MICHAEL A., SHAPIRO, MARTIN F. · 2002 to 2016
$16.5M
INNOVATIVE IMPLEMENTATION RESEARCH METHODS COREP30DA027828 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, C. HENDRICKS, MUSTANSKI, BRIAN · 2011 to 2020
$11.4M
DREW/UCLA Project Export CenterP20MD000148 · NIMHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHAPIRO, MARTIN F · 2002 to 2006
$3.6M
Preventing Drug Use in Low Income Clinic PopulationsR01DA022445 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GELBERG, LILLIAN · 2008 to 2011
$1.8M
NIDA NIH HHS P30 DA027828NIDA NIH HHS R01 DA022445NIDA NIH HHS R01 DA022445-01NIMHD NIH HHS P20 MD000148NIMHD NIH HHS P20MD000148NIMHD NIH HHS P20 MD000182NIMHD NIH HHS P20MD000182
6 · The paper itself

Abstract

backgroundImprovement in quality of life (QOL) is a long term goal of drug treatment. Although some brief interventions have been found to reduce illicit drug use, no trial among adult risky (moderate non-dependent) drug users has tested effects on health-related quality of life.

methodsA single-blind randomized controlled trial of patients enrolled from February 2011 to November 2012 was conducted in waiting rooms of five federally qualified health centers. 413 adult primary care patients were identified as risky drug users using the WHO-ASSIST and 334 (81% response; 171 intervention, 163 control) consented to participate in the trial. Three-month follow-ups were completed by 261 patients (78%). Intervention patients received the QUIT intervention of brief clinician advice and up to two drug-use health telephone sessions. The control group received usual care and information on cancer screening. Outcomes were three-month changes in the Short Form Health Survey (SF-12) mental health component summary score (MCS) and physical health component summary score (PCS).

resultsThe average treatment effect (ATE) was non-significant for MCS (0.2 points, p-value=0.87) and marginally significant for PCS (1.7 points, p-value=0.08). The average treatment effect on the treated (ATT) was 0.1 (p-value=0.93) for MCS and 1.9 (p-value=0.056) for PCS. The effect on PCS was stronger at higher (above median) baseline number of drug use days: ATE=2.7, p-value=0.04; ATT=3.21, p-value=0.02.

conclusionsThe trial found a marginally significant effect on improvement in PCS, and significant and stronger effect on the SF-12 physical component among patients with greater frequency of initial drug use.

Indexed as

Primary Health CareRemote ConsultationRisk-TakingAdultCounselingDrug UsersFemaleHealth StatusHumansMaleMiddle AgedQuality of LifeSingle-Blind MethodTreatment OutcomeBrief interventionIllicit drug usePrimary care clinicsQuality of lifeScreening

Identifiers

PMID25042213
PMCPMC4127148

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.