ArticleBMC neurology2022
Novel insights regarding the measurement properties of the SCOPA-AUT.
Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Effectiveness of the Roy adaptation model-based nursing intervention in improving physiological, psychological, and social outcomes in patients with Parkinson's disease.BMC neurology · 2025Trial
- Sex differences in depression in Parkinson's disease: cognitive dysfunction and female-specific associations.Frontiers in neuroscience · 2025Article
- Development and quality assessment of the psychometric properties of the Self-Efficacy in Lifestyle Counselling scale (SELC 20 + 20) using Rasch analysis.Health and quality of life outcomes · 2024Article
- Non-motor symptoms in patients with Spinocerebellar ataxia type 12.Frontiers in neurology · 2024Article
- COVID-19-induced gastrointestinal autonomic dysfunction: A systematic review.World journal of clinical cases · 2023Article
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Authors and funding
4 authors.
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Abstract
backgroundThe 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.
methodsFollowing 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.
resultsThe 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.
conclusionsThe 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.
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