Evidence map›Paper›PMID 20805908›Full record

ArticlePsychiatry (Edgmont (Pa. : Township))2007

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

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

Abstract read
In one paragraph

Article in Psychiatry (Edgmont (Pa. : Township)), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Heidi K MooreHealthcare Technology Systems, Inc., Madison, Wisconsin, USA. hmoore@healthtechsys.com
Madelaine M Wohlreich
Michael G Wilson
James C Mundt
Maurizio Fava
Craig H Mallinckrodt
John H Greist

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

antidepressantscomputer communication networkscomputerspain assessmentTechnology assessment

Identifiers

PMID20805908
PMCPMC2922356

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.