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

Overview of attention for article published in Trials, December 2016
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Title
The effect of bundling medication-assisted treatment for opioid addiction with mHealth: study protocol for a randomized clinical trial
Published in
Trials, December 2016
DOI 10.1186/s13063-016-1726-1
Pubmed ID
Authors

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, Chantelle Thomas, Dhavan Shah

Abstract

Opioid 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). This 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. 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. ClinicalTrials.gov, NCT02712034 . Registered on 14 March 2016.

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The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 305 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 17%
Researcher 37 12%
Student > Ph. D. Student 35 11%
Student > Bachelor 24 8%
Student > Doctoral Student 18 6%
Other 54 18%
Unknown 85 28%
Readers by discipline Count As %
Medicine and Dentistry 60 20%
Psychology 36 12%
Nursing and Health Professions 32 10%
Social Sciences 24 8%
Computer Science 13 4%
Other 43 14%
Unknown 97 32%