Literature DB >> 16377449

An interactive voice response program to reduce drinking relapse: a feasibility study.

James C Mundt1, Heidi K Moore, Pamela Bean.   

Abstract

Substance-abusing patients often relapse soon after undergoing treatment, thus requiring intensive aftercare or re-treatment. More efficient monitoring and follow-up of patients could contribute to better treatment outcomes. This study evaluated the feasibility of a computer-automated interactive voice response (IVR) system to reduce relapse following discharge from residential treatment. Sixty participants completing a residential treatment program and meeting DSM-IV criteria for alcohol dependence were randomized to three groups: (1) daily IVR reporting with personal follow-up on noncompliant callers; (2) daily IVR reporting without follow-up; or (3) no IVR reporting (control group). At 30, 90, and 180 days after discharge, participants were interviewed to obtain timeline follow-back drinking data and completed the Work and Social Adjustment Scale, Obsessive-Compulsive Drinking Scale, SF-36, and Drinker Inventory of Consequences. This pilot study suggests that using automated IVR technology to monitor clients after discharge is feasible and warrants further research and development. IVR systems also provide the potential for delivering individualized feedback.

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Mesh:

Year:  2006        PMID: 16377449     DOI: 10.1016/j.jsat.2005.08.010

Source DB:  PubMed          Journal:  J Subst Abuse Treat        ISSN: 0740-5472


  20 in total

1.  Interactive voice response for relapse prevention following cognitive-behavioral therapy for alcohol use disorders: a pilot study.

Authors:  Gail L Rose; Joan M Skelly; Gary J Badger; Magdalena R Naylor; John E Helzer
Journal:  Psychol Serv       Date:  2012-05

2.  Effects of interactive voice response self-monitoring on natural resolution of drinking problems: utilization and behavioral economic factors.

Authors:  Jalie A Tucker; David L Roth; Jin Huang; M Scott Crawford; Cathy A Simpson
Journal:  J Stud Alcohol Drugs       Date:  2012-07       Impact factor: 2.582

3.  Using prize-based incentives to enhance daily interactive voice response (IVR) compliance: a feasibility study.

Authors:  Jan A Lindsay; Charles G Minard; Sonora Hudson; Charles E Green; Joy M Schmitz
Journal:  J Subst Abuse Treat       Date:  2013-09-09

Review 4.  Interactive voice response technology to measure HIV-related behavior.

Authors:  Kerstin E E Schroder; Christopher J Johnson
Journal:  Curr HIV/AIDS Rep       Date:  2009-11       Impact factor: 5.071

Review 5.  Use of novel technology-based techniques to improve alcohol-related outcomes in clinical trials.

Authors:  Eugenia M Gurvich; George A Kenna; Lorenzo Leggio
Journal:  Alcohol Alcohol       Date:  2013-08-17       Impact factor: 2.826

6.  Efficacy of automated telephone continuing care following outpatient therapy for alcohol dependence.

Authors:  Gail L Rose; Joan M Skelly; Gary J Badger; Tonya A Ferraro; John E Helzer
Journal:  Addict Behav       Date:  2014-10-30       Impact factor: 3.913

7.  Predictors of utilization of an IVR self-monitoring program by problem drinkers with recent natural resolutions.

Authors:  Cathy A Simpson; Jin Huang; David L Roth; Susan D Chandler; Jalie A Tucker
Journal:  Drug Alcohol Depend       Date:  2012-06-07       Impact factor: 4.492

Review 8.  How effective is continuing care for substance use disorders? A meta-analytic review.

Authors:  Janet C Blodgett; Natalya C Maisel; Ingrid L Fuh; Paula L Wilbourne; John W Finney
Journal:  J Subst Abuse Treat       Date:  2013-09-26

9.  Closing the feedback loop: an interactive voice response system to provide follow-up and feedback in primary care settings.

Authors:  James H Willig; Marc Krawitz; Anantachai Panjamapirom; Midge N Ray; Christa R Nevin; Thomas M English; Mark P Cohen; Eta S Berner
Journal:  J Med Syst       Date:  2013-01-23       Impact factor: 4.460

10.  SMS versus telephone interviews for epidemiological data collection: feasibility study estimating influenza vaccination coverage in the Swedish population.

Authors:  Christin Bexelius; Hanna Merk; Sven Sandin; Alexandra Ekman; Olof Nyrén; Sharon Kühlmann-Berenzon; Annika Linde; Jan-Eric Litton
Journal:  Eur J Epidemiol       Date:  2008-12-10       Impact factor: 8.082

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