Novel insights regarding the measurement properties of the SCOPA-AUT

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. Following translation th...

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Bibliographic Details
Published in:BMC neurology 2022-12, Vol.22 (1), p.478-478, Article 478
Main Authors: Westergren, Albert, Wictorin, Klas, Hansson, Oskar, Hagell, Peter
Format: Article
Language:English
Subjects:
Age
Analysis
Autonomic dysfunction
Autonomic Nervous System
Autonomic Nervous System Diseases
Care and treatment
Catheters
Classical test theory
Clinical Medicine
Development and progression
Diagnosis
Dysautonomia
Gender
Humans
Item response theory
Klinisk medicin
Measurement
Medical and Health Sciences
Medicin och hälsovetenskap
Movement disorders
Neurodegenerative diseases
Neurologi
Neurology
Parkinson Disease - diagnosis
Parkinson's disease
Psychometrics
Quantitative psychology
Rasch model
Reproducibility of Results
Response categories
Scopa
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Summary: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. 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. 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. 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.
ISSN:1471-2377
1471-2377
DOI:10.1186/s12883-022-03008-2