Literature DB >> 15556825

Usefulness of pain drawings in identifying real or imagined pain: accuracy of pain professionals, nonprofessionals, and a decision model.

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

Abstract

UNLABELLED: The aim of this study was to determine the accuracy of pain specialists, nonprofessionals, and a decision model in judging whether a pain diagram was marked by a patient with chronic pain or by a healthy volunteer. Two hundred twenty-eight pain drawings were shown in random order to 10 pain medicine physicians, 10 pain medicine fellows, 10 nonphysician specialists, and 10 nonprofessionals. One half of the drawings (n = 114) had been produced by patients treated at a pain center and the other half (n = 114) by healthy individuals who were instructed to mark the diagrams as if they had a pain problem. The nonprofessionals were found to be 51.5% accurate, pain medicine fellows 52.7%, nonphysician specialists 54.3%, and pain medicine physicians 55.2 % accurate at distinguishing drawings by actual pain patients from drawings from volunteers without pain. A decision model was able to achieve 68.9% accuracy in determining which drawings were made by pain patients and which drawings were made by healthy individuals. The results suggest that subjective assessment of pain drawings alone is not useful in determining whether someone has real or imagined pain. A decision model that makes decisions on the basis of the number of highlighted squares on the pain diagram can identify real pain drawings with greater accuracy than humans. PERSPECTIVE: Pain drawings are clinically useful but have limitations. This study illustrates some of the benefits of computerized pain assessment and highlights the importance of not judging patients on the basis of one source of information.

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Year:  2004        PMID: 15556825     DOI: 10.1016/j.jpain.2004.08.004

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


  8 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.  Localizing value of pain distribution patterns in cervical spondylosis.

Authors:  Krishnapundha Bunyaratavej; Peerapong Montriwiwatnchai; Rungsak Siwanuwatn; Surachai Khaoroptham
Journal:  Asian Spine J       Date:  2015-04-15

3.  Colored Pain Drawing as a Clinical Tool in Differentiating Neuropathic Pain from Non-Neuropathic Pain.

Authors:  Nalini Sehgal; Debra B Gordon; Scott Hetzel; Miroslav Misha Backonja
Journal:  Pain Med       Date:  2021-03-18       Impact factor: 3.750

4.  Chiropractic Response to a Spontaneous Vertebral Artery Dissection.

Authors:  Gary Tarola; Reed B Phillips
Journal:  J Chiropr Med       Date:  2015-11-11

Review 5.  Temporomandibular disorders. Part 1: anatomy and examination/diagnosis.

Authors:  Stephen M Shaffer; Jean-Michel Brismée; Phillip S Sizer; Carol A Courtney
Journal:  J Man Manip Ther       Date:  2014-02

6.  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

7.  Do Gender-Specific and High-Resolution Three Dimensional Body Charts Facilitate the Communication of Pain for Women? A Quantitative and Qualitative Study.

Authors:  Line Lindhardt Egsgaard; Trine Søby Christensen; Ida Munk Petersen; Dorthe Scavenius Brønnum; Shellie Ann Boudreau
Journal:  JMIR Hum Factors       Date:  2016-07-20

8.  Novel Software for Pain Drawing Analysis.

Authors:  Asimakis K Kanellopoulos; Emmanouil K Kanellopoulos; Zacharias Dimitriadis; Nikolaos S Strimpakos; Andriana Koufogianni; Anthi A Kellari; Ioannis A Poulis
Journal:  Cureus       Date:  2021-12-14
  8 in total

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