Evidence map›Paper›PMID 27955689›Full record

Trial reportTrials2016

The effect of bundling medication-assisted treatment for opioid addiction with mHealth: study protocol for a randomized clinical trial.

David H Gustafson, Gina Landucci, Fiona McTavish, Rachel Kornfield, Roberta A Johnson, Marie-Louise Mares, Ryan P Westergaard, Andrew Quanbeck, Esra Alagoz, Klaren Pe-Romashko and 2 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02712034 (Impact on Opioid Use of Bundling Medication-assisted Treatment With mHealth), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.9field-weighted citation impact, top 9% 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.

NCT02712034 nacompletednot on this map

Impact on Opioid Use of Bundling Medication-assisted Treatment With mHealth

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2016 to 2020Enrolled417ConditionsOpioid Use DisorderArmsMAT + A-CHESS, MAT
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 56 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

David H GustafsonCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Gina LanducciCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Fiona McTavishCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Rachel KornfieldCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Roberta A JohnsonCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA. bobbie.johnson@wisc.edu.
Marie-Louise MaresCommunication Arts Department, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Ryan P WestergaardDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, 53705, USA.
Andrew QuanbeckCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Esra AlagozCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Klaren Pe-RomashkoCenter for Health Enhancement Systems Studies, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Chantelle ThomasAccess Community Health Centers, Madison, WI 53715, USA.
Dhavan ShahMass Communication Research Center, School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, 53706, USA.
University of Wisconsin–Madison · USCommunity Health Center · US

Funding

Impact on opioid use of bundling medication-assisted treatment with mHealthR01DA040449 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H · 2015 to 2019
$3.4M
Multidisciplinary Training Program in Digital Mental HealthT32MH115882 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Darren Gergle, DAVID CURTIS MOHR · 2018 to 2026
$2.4M
Barriers to Effective HIV Care for Injection Drug Users After Release from PrisonK23DA032306 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI WESTERGAARD, RYAN PATRICK · 2012 to 2016
$975k
Conceptualizing the problem of implementation: a systems engineering perspective applied in substance abuse treatmentK01DA039336 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI QUANBECK, ANDREW · 2015 to 2019
$741k
Physician coaching to reduce opioid-related harmsR34DA036720 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI BROWN, RANDALL T, QUANBECK, ANDREW · 2014 to 2016
$683k
NIDA NIH HHS K01 DA039336NIDA NIH HHS K23 DA032306NIDA NIH HHS R01 DA040449NIDA NIH HHS R34 DA036720NIMH NIH HHS T32 MH115882
6 · The paper itself

Abstract

backgroundOpioid dependence has devastating and increasingly widespread consequences and costs, and the most common outcome of treatment is early relapse. People who inject opioids are also at disproportionate risk for contracting the human immunodeficiency virus (HIV) and hepatitis C virus (HCV). This study tests an approach that has been shown to improve recovery rates: medication along with other supportive services (medication-assisted treatment, or MAT) against MAT combined with a smartphone innovation called A-CHESS (MAT + A-CHESS). METHODS/

designThis unblinded study will randomly assign 440 patients to receive MAT + A-CHESS or MAT alone. Eligible patients will meet criteria for having an opioid use disorder of at least moderate severity and will be taking methadone, injectable naltrexone, or buprenorphine. Patients with A-CHESS will have smartphones for 16 months; all patients will be followed for 24 months. The primary outcome is the difference between patients in the two arms in percentage of days using illicit opioids during the 24-month intervention. Secondary outcomes are differences between patients receiving MAT + A-CHESS versus MAT in other substance use, quality of life, retention in treatment, health service use, and, related to HIV and HCV, screening and testing rates, medication adherence, risk behaviors, and links to care. We will also examine mediators and moderators of the effects of MAT + A-CHESS. We will measure variables at baseline and months 4, 8, 12, 16, 20, and 24. At each point, patients will respond to a 20- to 30-min phone survey; urine screens will be collected at baseline and up to twice a month thereafter. We will use mixed-effects to evaluate the primary and secondary outcomes, with baseline scores functioning as covariates, treatment condition as a between-subject factor, and the outcomes reflecting scores for a given assessment at the six time points. Separate analyses will be conducted for each outcome. DISCUSSION: A-CHESS has been shown to improve recovery for people with alcohol dependence. It offers an adaptive and extensive menu of services and can attend to patients nearly as constantly as addiction does. This suggests the possibility of increasing both the effectiveness of, and access to, treatment for opioid dependence.

trial registrationClinicalTrials.gov, NCT02712034 . Registered on 14 March 2016.

Indexed as

Mobile ApplicationsSmartphoneAdaptation, PsychologicalAnalgesics, OpioidBuprenorphineClinical ProtocolsCombined Modality TherapyDrug UsersHealth Services AccessibilityHumansMethadoneNaltrexoneOpiate Substitution TreatmentOpioid-Related DisordersQuality of LifeRecurrenceAnalgesics, OpioidBuprenorphineMethadoneNaltrexoneAddictionHCVHIVMedication-assisted treatmentmHealthOpioidsSmartphoneTechnology

Identifiers

PMID27955689
PMCPMC5153683
OpenAlexW2561454923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.