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Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain

BACKGROUND: painDETECT (PD-Q) is a self-reported assessment of pain qualities developed as a screening tool for pain of neuropathic origin. Rasch analysis is a strategy for examining the measurement characteristics of a scale using a form of item response theory. We conducted a Rasch analysis to con...

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Autores principales: Packham, Tara L., Cappelleri, Joseph C., Sadosky, Alesia, MacDermid, Joy C., Brunner, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336691/
https://www.ncbi.nlm.nih.gov/pubmed/28259159
http://dx.doi.org/10.1186/s12883-017-0825-2
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author Packham, Tara L.
Cappelleri, Joseph C.
Sadosky, Alesia
MacDermid, Joy C.
Brunner, Florian
author_facet Packham, Tara L.
Cappelleri, Joseph C.
Sadosky, Alesia
MacDermid, Joy C.
Brunner, Florian
author_sort Packham, Tara L.
collection PubMed
description BACKGROUND: painDETECT (PD-Q) is a self-reported assessment of pain qualities developed as a screening tool for pain of neuropathic origin. Rasch analysis is a strategy for examining the measurement characteristics of a scale using a form of item response theory. We conducted a Rasch analysis to consider if the scoring and measurement properties of PD-Q would support its use as an outcome measure. METHODS: Rasch analysis was conducted on PD-Q scores drawn from a cross-sectional study of the burden and costs of NeP. The analysis followed an iterative process based on recommendations in the literature, including examination of sequential scoring categories, unidimensionality, reliability and differential item function. Data from 624 persons with a diagnosis of painful diabetic polyneuropathy, small fibre neuropathy, and neuropathic pain associated with chronic low back pain, spinal cord injury, HIV-related pain, or chronic post-surgical pain was used for this analysis. RESULTS: PD-Q demonstrated fit to the Rasch model after adjustments of scoring categories for four items, and omission of the time course and radiating questions. The resulting seven-item scale of pain qualities demonstrated good reliability with a person-separation index of 0.79. No scoring bias (differential item functioning) was found for this version. CONCLUSIONS: Rasch modelling suggests the seven pain-qualities items from PD-Q may be used as an outcome measure. Further research is required to confirm validity and responsiveness in a clinical setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-017-0825-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-53366912017-03-07 Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain Packham, Tara L. Cappelleri, Joseph C. Sadosky, Alesia MacDermid, Joy C. Brunner, Florian BMC Neurol Research Article BACKGROUND: painDETECT (PD-Q) is a self-reported assessment of pain qualities developed as a screening tool for pain of neuropathic origin. Rasch analysis is a strategy for examining the measurement characteristics of a scale using a form of item response theory. We conducted a Rasch analysis to consider if the scoring and measurement properties of PD-Q would support its use as an outcome measure. METHODS: Rasch analysis was conducted on PD-Q scores drawn from a cross-sectional study of the burden and costs of NeP. The analysis followed an iterative process based on recommendations in the literature, including examination of sequential scoring categories, unidimensionality, reliability and differential item function. Data from 624 persons with a diagnosis of painful diabetic polyneuropathy, small fibre neuropathy, and neuropathic pain associated with chronic low back pain, spinal cord injury, HIV-related pain, or chronic post-surgical pain was used for this analysis. RESULTS: PD-Q demonstrated fit to the Rasch model after adjustments of scoring categories for four items, and omission of the time course and radiating questions. The resulting seven-item scale of pain qualities demonstrated good reliability with a person-separation index of 0.79. No scoring bias (differential item functioning) was found for this version. CONCLUSIONS: Rasch modelling suggests the seven pain-qualities items from PD-Q may be used as an outcome measure. Further research is required to confirm validity and responsiveness in a clinical setting. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12883-017-0825-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-04 /pmc/articles/PMC5336691/ /pubmed/28259159 http://dx.doi.org/10.1186/s12883-017-0825-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Packham, Tara L.
Cappelleri, Joseph C.
Sadosky, Alesia
MacDermid, Joy C.
Brunner, Florian
Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
title Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
title_full Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
title_fullStr Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
title_full_unstemmed Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
title_short Measurement properties of painDETECT: Rasch analysis of responses from community-dwelling adults with neuropathic pain
title_sort measurement properties of paindetect: rasch analysis of responses from community-dwelling adults with neuropathic pain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336691/
https://www.ncbi.nlm.nih.gov/pubmed/28259159
http://dx.doi.org/10.1186/s12883-017-0825-2
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