Literature DB >> 1387821

Expert performance in low-back disorder recognition using patient pain drawings.

N H Mann1, M D Brown, I Enger.   

Abstract

Eight low-back-pain experts who regularly include pain drawings in their clinical workup were asked to classify 25 drawings. The experts used only the drawings to place cases into one of five broadly defined diagnostic categories: benign disorder, herniated disc, spinal stenosis, underlying disorder, or psychogenic disturbance. The physicians demonstrated adequate accuracy--51% correct--when compared with change (20% correct). Classification accuracy was greatest for psychogenic disorders (85%), followed by spinal stenosis (58%), herniated discs (52%), and benign disorders (50%). Predictions were comparatively poor for the underlying disorder category (10%). The individual physician accuracies varied from 44 to 60%. "Classic" pain patterns for each disorder group were identified by determining which drawings were correctly classified by most physicians. Physicians may wish to impart greater significance to pain drawings close to one of our "classic" patterns than to others.

Entities:  

Mesh:

Year:  1992        PMID: 1387821     DOI: 10.1097/00002517-199209000-00002

Source DB:  PubMed          Journal:  J Spinal Disord        ISSN: 0895-0385


  5 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.  Pearls: Patient-generated Pain Drawings.

Authors:  Mark D Brown
Journal:  Clin Orthop Relat Res       Date:  2017-03-13       Impact factor: 4.176

4.  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

5.  From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones.

Authors:  Nour Shaballout; Till-Ansgar Neubert; Shellie Boudreau; Florian Beissner
Journal:  JMIR Mhealth Uhealth       Date:  2019-09-05       Impact factor: 4.773

  5 in total

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