Affiliation:
1. Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK
2. Nuffield Department of Population Health, University of Oxford, UK
3. School of Health Sciences, University of Newcastle, Australia
4. Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
Abstract
Background
The Stroke Impact Scale (
SIS
) is a stroke‐specific, quality of life measure recommended for research and clinical practice. Completion rates are suboptimal and could relate to test burden. We derived and validated a short form SIS (SF‐SIS).
Methods and Results
We examined data from the Virtual International Stroke Trial Archive, generating derivation and validation populations. We derived an
SF
‐
SIS
by selecting 1 item per domain of
SIS
, choosing items most highly correlated with total domain score. Our validation described agreement of
SF
‐
SIS
with original
SIS
and the
SIS
‐16 and correlation with Barthel Index, modified Rankin Scale, National Institutes of Health Stroke Scale, and Euro‐QoL 5 dimensions visual analog scales. We assessed discriminative validity (associations between
SF
‐
SIS
and factors known to influence outcome [age, physiological parameters, and comorbidity]). We assessed face validity and acceptability by sharing the
SF
‐
SIS
with a focus group of stroke survivors and multidisciplinary stroke healthcare staff. From 5549 acute study patients (mean age 68.5 [
SD
13] years, mean
SIS
64 [
SD
32]) and 332 rehabilitation patients (mean age 65.7 [
SD
11] years, mean
SIS
61 [
SD
11]), we derived an 8‐item
SF
‐
SIS
that demonstrated good agreement with original
SIS
and good correlation with our chosen functional and quality of life measures (all ρ>0.70,
P
<0.0001). Significant associations were seen with our chosen predictors of stroke outcome in the acute group (
P
<0.0001). The focus group agreed with the choice of items for
SF
‐
SIS
across 7 of 8 domains
.
Conclusions
Using multiple, complementary methods, we have derived an SF‐
SIS
and demonstrated content, convergent, and discriminant validity. This shortened
SIS
should allow collection of robust quality of life data with less associated test burden.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Cardiology and Cardiovascular Medicine
Cited by
23 articles.
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