Evidence map›Paper›PMID 22542960›Full record

Trial reportContemporary clinical trials2012

Assessing the effect of Measurement-Based Care depression treatment on HIV medication adherence and health outcomes: rationale and design of the SLAM DUNC Study.

Brian W Pence, Bradley N Gaynes, Quinn Williams, Riddhi Modi, Julie Adams, E Byrd Quinlivan, Amy Heine, Nathan Thielman, Michael J Mugavero

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Contemporary clinical trials, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01372605 (SLAM DUNC), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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.

NCT01372605 nacompletednot on this map

SLAM DUNC: Strategies to Link Antidepressant and Antiretroviral Management at Duke University, University of Alabama at Birmingham, Northern Outreach Clinic (Henderson, NC), and University of North Carolina

TypeinterventionalSponsorDuke UniversityRan2010 to 2014Enrolled304ConditionsDepression, HIVArmsMeasurement-Based Care collaborative depression management, Enhanced Usual Care
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
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  12. HIV-Associated Neurocognitive Disorder (HAND): Relative Risk Factors.Current topics in behavioral neurosciences · 2021
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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.

Brian W PenceDepartment of Community and Family Medicine, Duke University, Durham, NC 27705, USA. brian.pence@duke.edu
Bradley N Gaynes
Quinn Williams
Riddhi Modi
Julie Adams
E Byrd Quinlivan
Amy Heine
Nathan Thielman
Michael J Mugavero

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
HIV/AIDS Clinical Trials UnitU01AI069484 · NIAID · DUKE UNIVERSITY · PI BARTLETT, JOHN A · 2007 to 2011
$14.6M
IMPLEMENTATION RESEARCH INSTITUTE FOR MENTAL HEALTH SERVICES IRI-MHSR25MH080916 · NIMH · WASHINGTON UNIVERSITY · PI Byron James Powell · 2009 to 2026
$3.7M
Improving HAART Adherence in Depressed HIV Clinic Patients: A Real-World RCTR01MH086362 · NIMH · DUKE UNIVERSITY · PI PENCE, BRIAN W · 2009 to 2013
$3.5M
Adherence to HIV Care: Advancing the ScienceK23MH082641 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MUGAVERO, MICHAEL J · 2008 to 2012
$966k
NIAID NIH HHS 2P30 AI064518NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI064518NIAID NIH HHS U01 AI069484NIMH NIH HHS K23 MH082641NIMH NIH HHS K23MH082641NIMH NIH HHS R01 MH086362NIMH NIH HHS R01MH086362NIMH NIH HHS R25 MH080916NIMH NIH HHS R25 MH080916-01A2
6 · The paper itself

Abstract

Depression affects 20-30% of people living with HIV/AIDS (PLWHA) in the U.S. and predicts greater sexual risk behaviors, lower antiretroviral (ARV) medication adherence, and worse clinical outcomes. Yet little experimental evidence addresses the critical clinical question of whether depression treatment improves ARV adherence and clinical outcomes in PLWHA with depression. The Strategies to Link Antidepressant and Antiretroviral Management at Duke, UAB, and UNC (SLAM DUNC) Study is a randomized clinical effectiveness trial funded by the National Institute for Mental Health. The objective of SLAM DUNC is to test whether a depression treatment program integrated into routine HIV clinical care affects ARV adherence. PLWHA with depression (n=390) are randomized to enhanced usual care or a depression treatment model called Measurement-Based Care (MBC). MBC deploys a clinically supervised Depression Care Manager (DCM) to provide evidence-based antidepressant treatment recommendations to a non-psychiatric prescribing provider, guided by systematic and ongoing measures of depressive symptoms and side effects. MBC has limited time requirements and the DCM role can be effectively filled by a range of personnel given appropriate training and supervision, enhancing replicability. In SLAM DUNC, MBC is integrated into HIV care to support HIV providers in antidepressant prescription and management. The primary endpoint is ARV adherence measured by unannounced telephone-based pill counts at 6 months with follow-up to 12 months and secondary endpoints including viral load, health care utilization, and depressive severity. Important outcomes of this study will be evidence of the effectiveness of MBC in treating depression in PLWHA and improving HIV-related outcomes.

Indexed as

AdolescentAdultAgedAntidepressive AgentsAnti-HIV AgentsClinical ProtocolsDepressionFollow-Up StudiesHIV InfectionsHumansMedication AdherenceMiddle AgedResearch DesignTreatment OutcomeYoung AdultAntidepressive AgentsAnti-HIV Agents

Identifiers

PMID22542960
PMCPMC3361555

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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.