Considerations on the psychometric properties and validity of the Spinal Cord Injury Secondary Conditons Scale
Study design Cross-sectional validation study. Objectives Explore psychometric properties of Spinal Cord Injury Secondary Conditions Scale (SCI-SCS). Setting Two Scandinavian rehabilitation centres. Methods Included were 224 consecutive patients attending regular follow-up at least 1 year after a tr...
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Published in | Spinal cord Vol. 59; no. 8; pp. 894 - 901 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.08.2021
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Study design
Cross-sectional validation study.
Objectives
Explore psychometric properties of Spinal Cord Injury Secondary Conditions Scale (SCI-SCS).
Setting
Two Scandinavian rehabilitation centres.
Methods
Included were 224 consecutive patients attending regular follow-up at least 1 year after a traumatic SCI. Mean age was 49.6 (SD 14.9) years. SCI-SCS floor and ceiling effect examined. Construct validity was investigated by confirmatory factor analysis and correlation analysis, and reliability by Cronbach’s alpha.
Results
SCI-SCS showed no floor or ceiling effect. Two out of four earlier reported latent factors (“Genitourinary and bowel”, “Muscle structures and pain”) were confirmed. The global Cronbach’s alpha of SCI-SCS was 0.65 and 0.22–0.61 for the four latent factors. The SCI-SCS sum score showed low correlation to quality of life (QoL) measured by EQ5 VAS (
r
s
= −0.47,
p
< 0.001). Likewise, the sum score correlations to QoL-general and QoL-physical health (International SCI QoL Basic Dataset) were low (
r
s
= −0.36,
p
< 0.001 and
r
s
= −0.37,
p
< 0.001, respectively). The scale item Muscle Spasms correlated moderately to ratings on Spasm Frequency (
r
s
= 0.59,
p
< 0.001) and Spasm Intensity (
r
s
= 0.56,
p
< 0.001) scales. Chronic Pain and Joint and Muscle Pain correlated to patient reported number of pain sites and level of pain (International SCI Pain Basic Dataset 1.0) (
r
s
= 0.31
p
< 0.001 and
r
s
= 0.47,
p
< 0.001, respectively).
Conclusion
SCI-SCS is a relevant instrument for giving clinicians and researchers an overview of the individual recent experiences with secondary conditions. However, the instrument could benefit from a clearer definition of the construct secondary conditions, a scale revision and a consideration of whether to add other experienced secondary conditions. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1362-4393 1476-5624 1476-5624 |
DOI: | 10.1038/s41393-021-00655-z |