Article

OBJECTIVE: To determine if subscores based on grouping Stroke Impact Scale 16
(SIS-16) items according to International Classification of Functioning, Health
and Disability (ICF) components are more accurate in identifying individuals with
a history of falls than the total SIS-16 score. DESIGN:
Case series. SUBJECTS:
43 community-dwelling people with chronic stroke. METHODS: Participants were grouped
based on six month fall history (no fall versus one or more falls). The SIS-16
items were categorized as belonging to the Body Structure and Function (BSF),
Activity (ACT) or Participation (PART) component of the ICF. SIS-16 total score
and ICF component subscores were analyzed for their association with falls.
Receiver Operating Characteristic Curves were (ROC) analyzed.
RESULTS: There were
significant differences between groups on SIS-16 total (p = 0.006), BSF (p =
0.041) and ACT (p = 0.003) scores. The BSF and ACT component subscores had the
highest specificity (0.91) and sensitivity (0.80), respectively, for categorizing
participants according to fall history. The BSF + ACT component subscore
demonstrated greater accuracy than the total SIS-16 for identifying people with
falls (area under the curve = 0.78). CONCLUSION:
The ICF may be a useful model
for analysis of fall screening tools for people with chronic stroke. ICF
component subscores are more accurate than the SIS-16 total score for this purpose.

Langue : ANGLAIS