Literature DB >> 17400520

Lessons and pitfalls of interactive voice response in medical research.

Khamis Abu-Hasaballah1, Amy James, Robert H Aseltine.   

Abstract

Interactive voice response (IVR) technology is a robust method of data collection that has been underutilized in behavioral medicine and clinical pharmacotherapy research. While it is clear that there is an increasing interest in this technology, published research in the medical field has not described its implementation with sufficient detail to evaluate or replicate the use of interactive voice response systems (IVRS) as part of the methodology. In this article, we hope to shed more light on IVRS as an electronic data capture tool in clinical and behavioral research. We will describe how the IVRS work, the advantages and pitfalls of IVRS, and some of the lessons we have learned from administering a number of clinical studies using IVRS. Readers will gain a better understanding of this technology, which will enable them to optimize its usage in clinical research.

Mesh:

Year:  2007        PMID: 17400520     DOI: 10.1016/j.cct.2007.02.007

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  29 in total

1.  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

2.  Interactive voice response technology: a tool for improving healthcare.

Authors:  Margaret Ross Kraft; Ida Androwich
Journal:  NI 2012 (2012)       Date:  2012-06-23

Review 3.  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 4.  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

5.  Feasibility of using interactive voice response to monitor daily drinking, moods, and relationship processes on a daily basis in alcoholic couples.

Authors:  James A Cranford; Howard Tennen; Robert A Zucker
Journal:  Alcohol Clin Exp Res       Date:  2009-12-17       Impact factor: 3.455

6.  Interactive voice response self-monitoring to assess risk behaviors in rural substance users living with HIV/AIDS.

Authors:  Jalie A Tucker; Elizabeth R Blum; Lili Xie; David L Roth; Cathy A Simpson
Journal:  AIDS Behav       Date:  2012-02

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

8.  Electronic versus paper diaries: a pilot study of concordance and adherence in head and neck cancer patients receiving radiation therapy.

Authors:  Joseph M Blondin; Khamis S Abu-Hasaballah; Howard Tennen; Rajesh V Lalla
Journal:  Head Neck Oncol       Date:  2010-10-18

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.  Prospective Measurement of Daily Health Behaviors: Modeling Temporal Patterns in Missing Data, Sexual Behavior, and Substance Use in an Online Daily Diary Study of Gay and Bisexual Men.

Authors:  H Jonathon Rendina; Ana Ventuneac; Brian Mustanski; Christian Grov; Jeffrey T Parsons
Journal:  AIDS Behav       Date:  2016-08
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