hkr.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Measurement properties of the Swedish modified version of the Postural Assessment Scale for Stroke Patients (SwePASS) using Rasch analysis
University of Gothenburg.
Physiotherapy Department NU-Hospital Group, Trollhättan/Uddevalla.
Kristianstad University, School of Health and Society, Avdelningen för Sjuksköterskeutbildningarna. Kristianstad University, Research Environment PRO-CARE, Patient Reported Outcomes - Clinical Assessment Research and Education. Kristianstad University, Research Platform for Collaboration for Health.ORCID iD: 0000-0003-2174-372X
2017 (English)In: European Journal of Physical and Rehabilitation Medicine, ISSN 1973-9087, E-ISSN 1973-9095Article in journal (Refereed) Epub ahead of print
Abstract [en]

BACKGROUND: A previous small-sample (n=150) Rasch analysis of the Swedish modified version of the Postural Assessment Scale for Stroke Patients (SwePASS) suggested problems regarding response categories and redundant items that need confirmation in larger samples with more severe strokes.

AIM: To evaluate the measurement properties of the SwePASS in patients with acute stroke.

DESIGN: A multicentre, cross-sectional study.

SETTING: Two stroke units in Western Sweden.

POPULATION: The study cohort included 250 consecutive inpatients undergoing rehabilitation after acute stroke.

METHODS: The SwePASS assessments were performed once within the first four days after admission to the stroke units. The data were analysed according to the Rasch measurement model regarding targeting, model fit, reliability, response category function, local dependence and differential item functioning.

RESULTS: Postural control of 250 patients (median age, 76.5 years) was assessed with the SwePASS within median of two days after admission to the stroke units. The SwePASS covered a continuum of different levels of postural control, but had suboptimal targeting with insufficient representation of lower and higher levels of postural control. The reliability was high, the item fit statistics were generally acceptable and there was no differential item functioning by sex, age and stroke localization. However, response categories did not function as expected for four of the 12 SwePASS items and five items exhibited local dependency.

CONCLUSIONS: The SwePASS exhibited several promising measurement properties. To improve the scale, poor targeting, illogical response categories and local dependency should be addressed.

CLINICAL REHABILITATION IMPACT: The SwePASS provides valuable clinical information regarding postural control in the acute phase after stroke.

Place, publisher, year, edition, pages
2017.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:hkr:diva-16788DOI: 10.23736/S1973-9087.17.04607-XPubMedID: 28497929OAI: oai:DiVA.org:hkr-16788DiVA: diva2:1098408
Available from: 2017-05-24 Created: 2017-05-24 Last updated: 2017-05-24Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Hagell, Peter
By organisation
Avdelningen för SjuksköterskeutbildningarnaResearch Environment PRO-CARE, Patient Reported Outcomes - Clinical Assessment Research and EducationResearch Platform for Collaboration for Health
In the same journal
European Journal of Physical and Rehabilitation Medicine
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 22 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf