Literature DB >> 26992099

Test-retest Reliability in Reporting the Pain Induced by a Pain Provocation Test: Further Validation of a Novel Approach for Pain Drawing Acquisition and Analysis.

Diego Leoni1, Deborah Falla2,3, Carolin Heitz4, Gianpiero Capra1, Ron Clijsen4,5,6, Michele Egloff1, Corrado Cescon1, Jean-Pierre Baeyens5,6, Marco Barbero1.   

Abstract

BACKGROUND: Pain drawings (PD) are frequently used in research to illustrate the pain response to pain provocation tests. However, there is a lack of data on the reliability in defining the extent and location of pain. We investigated the test-retest reliability in reporting an acute painful sensation induced by a pain provocation test using a novel approach for PD acquisition and analysis in healthy volunteers.
METHODS: Forty healthy volunteers participated. Each participant underwent 2 upper limb neurodynamic tests 1 (ULNT1), once to the point of pain onset (PO) and once until the point of submaximal pain (SP). After each ULNT1, participants completed 2 consecutive PD with an interval of 1 minute. Custom software was used to quantify the pain extent and analyze the pain overlap. The test-retest reliability of pain extent was examined using Intraclass Correlation Coefficient (ICC 2,1 ) and Bland-Altman plots. Pain location reliability was examined using the Jaccard similarity coefficient (JSC).
RESULTS: The ICC values for PO and SP were 0.98 (95% CI: 0.96-0.99) and 0.97 (95% CI: 0.95-0.98), respectively. The mean difference and 95% limits of agreement (± 1.96 SD) in the Bland-Altman plots were 14 pixels (-1080;1110) for PO, and 145 (-1610;1900) for SP. The median JSCs (Q1;Q3) were 0.73 (0.64;0.80) for PO and 0.76 (0.65;0.79) for SP.
CONCLUSIONS: Pain drawings is a reliable instrument to investigate pain extent and pain location in healthy individuals experiencing an acute painful sensation induced by a pain provocation test.
© 2016 World Institute of Pain.

Entities:  

Keywords:  electronic acquisition; pain drawing; pain extent; pain location; reliability

Mesh:

Year:  2016        PMID: 26992099     DOI: 10.1111/papr.12429

Source DB:  PubMed          Journal:  Pain Pract        ISSN: 1530-7085            Impact factor:   3.183


  11 in total

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6.  Digital Pain Drawings Can Improve Doctors' Understanding of Acute Pain Patients: Survey and Pain Drawing Analysis.

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8.  Profiling and Association over Time between Disability and Pain Features in Patients with Chronic Nonspecific Neck Pain: A Longitudinal Study.

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9.  Digital Pain Mapping and Tracking in Patients With Chronic Pain: Longitudinal Study.

Authors:  Maria Galve Villa; Thorvaldur S Palsson; Albert Cid Royo; Carsten R Bjarkam; Shellie A Boudreau
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10.  Digital manikins to self-report pain on a smartphone: A systematic review of mobile apps.

Authors:  Syed Mustafa Ali; Wei J Lau; John McBeth; William G Dixon; Sabine N van der Veer
Journal:  Eur J Pain       Date:  2020-11-13       Impact factor: 3.931

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