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Novel insights regarding the measurement properties of the SCOPA-AUT

Westergren, Albert (author)
Kristianstad University
Wictorin, Klas (author)
Lund University,Lunds universitet,Kliniska Vetenskaper, Helsingborg,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Sciences, Helsingborg,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine,Helsingborg Hospital
Hansson, Oskar (author)
Lund University,Lunds universitet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups,Skåne University Hospital
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Hagell, Peter (author)
Kristianstad University
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 (creator_code:org_t)
2022-12-13
2022
English.
In: BMC Neurology. - : BioMed Central Ltd.. - 1471-2377. ; 22:1, s. 1-10
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)

Keyword

Autonomic dysfunction
Measurement
Parkinson’s disease
Rasch model
Response categories

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Westergren, Albe ...
Wictorin, Klas
Hansson, Oskar
Hagell, Peter
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
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and Neurology
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BMC Neurology
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Kristianstad University College
Lund University

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