Literature DB >> 20805908

Using daily interactive voice response assessments: to measure onset of symptom improvement with duloxetine.

Heidi K Moore1, Madelaine M Wohlreich, Michael G Wilson, James C Mundt, Maurizio Fava, Craig H Mallinckrodt, John H Greist.   

Abstract

Most clinical trials measure patient responses weekly, requiring patients to accurately recall and report their symptoms from the previous six days. More frequent assessments would be less susceptible to recall errors and recency effects as weekly assessments, but increased office visits burden clinicians and patients and can lead to higher attrition or non compliance. Interactive voice response (IVR) technology permits data collection at greater frequencies with minimal reporting burdens. An ancillary study within a randomized clinical trial evaluated the use of IVR to gather measures of patients' ratings of emotional and painful symptoms of depression on a daily basis. Unmedicated patients randomized to a starting dose of duloxetine of 30 mg QD (n=67) or 60 mg QD (n=70) called an IVR system daily to complete Verbal Numeric Scales for pain and Patient Global Impression of Improvement for both physical and emotional changes. Patients' compliance with daily IVR assessments was examined, and the IVR data obtained showed that patients started at 60 mg reported less pain and greater physical and emotional improvements than patients started at 30 mg. Dose related differences were evident as early as one day after the start treatment. This study provides new data about the usefulness of daily IVR assessments in clinical research and supports other studies regarding early symptom improvement with duloxetine.

Entities:  

Keywords:  Technology assessment; antidepressants; computer communication networks; computers; pain assessment

Year:  2007        PMID: 20805908      PMCID: PMC2922356     

Source DB:  PubMed          Journal:  Psychiatry (Edgmont)        ISSN: 1550-5952


  20 in total

1.  Computer-automated dementia screening using a touch-tone telephone.

Authors:  J C Mundt; K L Ferber; M Rizzo; J H Greist
Journal:  Arch Intern Med       Date:  2001-11-12

2.  Methodology to measure onset of action.

Authors:  M E Thase
Journal:  J Clin Psychiatry       Date:  2001       Impact factor: 4.384

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Authors:  M HAMILTON
Journal:  Br J Med Psychol       Date:  1959

4.  Onset of action for duloxetine 60 mg once daily: double-blind, placebo-controlled studies.

Authors:  Stephen K Brannan; Craig H Mallinckrodt; Michael J Detke; John G Watkin; Gary D Tollefson
Journal:  J Psychiatr Res       Date:  2005-03       Impact factor: 4.791

5.  Is there a delay in the antidepressant effect? A meta-analysis.

Authors:  Michael A Posternak; Mark Zimmerman
Journal:  J Clin Psychiatry       Date:  2005-02       Impact factor: 4.384

6.  The visual analog scale in the immediate postoperative period: intrasubject variability and correlation with a numeric scale.

Authors:  L J DeLoach; M S Higgins; A B Caplan; J L Stiff
Journal:  Anesth Analg       Date:  1998-01       Impact factor: 5.108

7.  Validation of a verbally administered numerical rating scale of acute pain for use in the emergency department.

Authors:  Polly E Bijur; Clarke T Latimer; E John Gallagher
Journal:  Acad Emerg Med       Date:  2003-04       Impact factor: 3.451

8.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

9.  The effect of duloxetine on painful physical symptoms in depressed patients: do improvements in these symptoms result in higher remission rates?

Authors:  Maurizio Fava; Craig H Mallinckrodt; Michael J Detke; John G Watkin; Madelaine M Wohlreich
Journal:  J Clin Psychiatry       Date:  2004-04       Impact factor: 4.384

10.  Duloxetine for the treatment of major depressive disorder.

Authors:  Charles B Nemeroff; Alan F Schatzberg; David J Goldstein; Michael J Detke; Craig Mallinckrodt; Yili Lu; Pierre V Tran
Journal:  Psychopharmacol Bull       Date:  2002
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  1 in total

1.  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

  1 in total

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