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Novel insights regarding the measurement properties of the SCOPA-AUT

BACKGROUND: The Scale for Outcomes in Parkinson’s disease for Autonomic symptoms (SCOPA-AUT) is an instrument intended to assess overall and domain-specific autonomic symptom burden. In this study the SCOPA-AUT is translated into Swedish and its measurement properties are assessed. METHODS: Followin...

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Autores principales: Westergren, Albert, Wictorin, Klas, Hansson, Oskar, Hagell, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746092/
https://www.ncbi.nlm.nih.gov/pubmed/36514012
http://dx.doi.org/10.1186/s12883-022-03008-2
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author Westergren, Albert
Wictorin, Klas
Hansson, Oskar
Hagell, Peter
author_facet Westergren, Albert
Wictorin, Klas
Hansson, Oskar
Hagell, Peter
author_sort Westergren, Albert
collection PubMed
description BACKGROUND: The Scale for Outcomes in Parkinson’s disease for Autonomic symptoms (SCOPA-AUT) is an instrument intended to assess overall and domain-specific autonomic symptom burden. In this study the SCOPA-AUT is translated into Swedish and its measurement properties are assessed. METHODS: Following translation the SCOPA-AUT was field-tested regarding comprehensibility, relevance, and respondent burden (n = 20). It was then tested according to Rasch measurement theory using data from 242 persons with PD, of whom 162 completed SCOPA-AUT at baseline and 1–2 years later, giving a total of 404 data points for analysis. RESULTS: The Swedish SCOPA-AUT took a mean of 6 min to complete and was considered easy to use and relevant by respondents. SCOPA-AUT exhibited acceptable Rasch model fit, represents more severe levels of dysautonomia than that reported by the sample, and response categories were not working as expected for 17 items. Local dependency was identified and followed a pattern resembling the suggested subscales. Accounting for the subscale structure eliminated local dependency and reduced the initially inflated reliability from 0.81 to 0.68. CONCLUSIONS: The SCOPA-AUT is useful as a clinical check-list but requires further developmental work in order to meet more rigorous standards as an outcome measurement instrument. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-022-03008-2.
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spelling pubmed-97460922022-12-14 Novel insights regarding the measurement properties of the SCOPA-AUT Westergren, Albert Wictorin, Klas Hansson, Oskar Hagell, Peter BMC Neurol Research Article BACKGROUND: The Scale for Outcomes in Parkinson’s disease for Autonomic symptoms (SCOPA-AUT) is an instrument intended to assess overall and domain-specific autonomic symptom burden. In this study the SCOPA-AUT is translated into Swedish and its measurement properties are assessed. METHODS: Following translation the SCOPA-AUT was field-tested regarding comprehensibility, relevance, and respondent burden (n = 20). It was then tested according to Rasch measurement theory using data from 242 persons with PD, of whom 162 completed SCOPA-AUT at baseline and 1–2 years later, giving a total of 404 data points for analysis. RESULTS: The Swedish SCOPA-AUT took a mean of 6 min to complete and was considered easy to use and relevant by respondents. SCOPA-AUT exhibited acceptable Rasch model fit, represents more severe levels of dysautonomia than that reported by the sample, and response categories were not working as expected for 17 items. Local dependency was identified and followed a pattern resembling the suggested subscales. Accounting for the subscale structure eliminated local dependency and reduced the initially inflated reliability from 0.81 to 0.68. CONCLUSIONS: The SCOPA-AUT is useful as a clinical check-list but requires further developmental work in order to meet more rigorous standards as an outcome measurement instrument. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-022-03008-2. BioMed Central 2022-12-13 /pmc/articles/PMC9746092/ /pubmed/36514012 http://dx.doi.org/10.1186/s12883-022-03008-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Westergren, Albert
Wictorin, Klas
Hansson, Oskar
Hagell, Peter
Novel insights regarding the measurement properties of the SCOPA-AUT
title Novel insights regarding the measurement properties of the SCOPA-AUT
title_full Novel insights regarding the measurement properties of the SCOPA-AUT
title_fullStr Novel insights regarding the measurement properties of the SCOPA-AUT
title_full_unstemmed Novel insights regarding the measurement properties of the SCOPA-AUT
title_short Novel insights regarding the measurement properties of the SCOPA-AUT
title_sort novel insights regarding the measurement properties of the scopa-aut
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746092/
https://www.ncbi.nlm.nih.gov/pubmed/36514012
http://dx.doi.org/10.1186/s12883-022-03008-2
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