Literature DB >> 15209971

Computerized dynamic assessment of pain: comparison of chronic pain patients and healthy controls.

Robert N Jamison1, Gilbert J Fanciullo, John C Baird.   

Abstract

OBJECTIVE: Computerized software holds the potential for the novel assessment of the pain experience of patients with chronic pain not available through traditional paper-and-pencil methods. The aim of this study was to test the feasibility and discriminant validity of a dynamic computer-administered program for the assessment of pain.
DESIGN: Three computer-administered programs were created to assess the intensity (dynamic visual analog scale DVAS]), character (dynamic verbal ratings), and location (dynamic pain drawings) of pain. The programs were administered to 115 chronic pain patients recruited from a hospital-based pain management program and 115 age- and gender-matched healthy individuals without pain. The healthy controls were instructed to respond as if they had chronic pain.
RESULTS: Analyses showed pain patient DVAS pain intensity ratings to be significantly higher than ratings by the healthy group. Patients selected more words in describing their pain, rated those words higher, and marked significantly more pain locations than the comparison group. However, no differences were found in the DVAS ratings of emotional impact between patients and healthy individuals.
CONCLUSIONS: Chronic pain patients were shown to differ from healthy individuals in their assessments of degree of pain intensity and pain location with the use of a novel computerized pain assessment program. Although further investigations are needed, these initial findings support the use of computer methods for the effective assessment of pain.

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Year:  2004        PMID: 15209971     DOI: 10.1111/j.1526-4637.2004.04032.x

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


  14 in total

1.  Reliability of a preliminary 3-D pain mapping program.

Authors:  Robert N Jamison; Tabitha A Washington; Padma Gulur; Gilbert J Fanciullo; John R Arscott; Gregory J McHugo; John C Baird
Journal:  Pain Med       Date:  2011-01-28       Impact factor: 3.750

2.  Reproducibility of pain manikins: a comparison of paper versus online questionnaires.

Authors:  Gareth T Jones; Ramona Kyabaggu; Debbi Marais; Gary J Macfarlane
Journal:  Br J Pain       Date:  2013-08

3.  Integrating pain management in clinical practice.

Authors:  Robert N Jamison; Robert R Edwards
Journal:  J Clin Psychol Med Settings       Date:  2012-03

4.  Evaluation of the Iconic Pain Assessment Tool by a heterogeneous group of people in pain.

Authors:  Chitra Lalloo; James L Henry
Journal:  Pain Res Manag       Date:  2011 Jan-Feb       Impact factor: 3.037

5.  Development and preliminary testing of a computerized adaptive assessment of chronic pain.

Authors:  Milena D Anatchkova; Renee N Saris-Baglama; Mark Kosinski; Jakob B Bjorner
Journal:  J Pain       Date:  2009-09       Impact factor: 5.820

6.  Computer Face Scale for measuring pediatric pain and mood.

Authors:  Padma Gulur; Scott W Rodi; Tabitha A Washington; Joseph P Cravero; Gilbert J Fanciullo; Gregory J McHugo; John C Baird
Journal:  J Pain       Date:  2008-11-17       Impact factor: 5.820

7.  A narrative approach to explore grief experiences and treatment adherence in people with chronic pain after participation in a pain-management program: a 6-year follow-up study.

Authors:  Elin Dysvik; Gerd Karin Natvig; Bodil Furnes
Journal:  Patient Prefer Adherence       Date:  2013-08-09       Impact factor: 2.711

8.  Computer-aided surface estimation of pain drawings - intra- and inter-rater reliability.

Authors:  Ann L Persson; Sofia Garametsos; Jonna Pedersen
Journal:  J Pain Res       Date:  2011-05-15       Impact factor: 3.133

9.  Computerized assessment of pain drawing area: A pilot study.

Authors:  Anna Wenngren; Britt-Marie Stålnacke
Journal:  Neuropsychiatr Dis Treat       Date:  2009-08-20       Impact factor: 2.570

10.  Attitudes of patients toward adoption of 3D technology in pain assessment: qualitative perspective.

Authors:  Fotios Spyridonis; Gheorghita Ghinea; Andrew O Frank
Journal:  J Med Internet Res       Date:  2013-04-10       Impact factor: 5.428

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