Article

OBJECTIVE: To test the convergent validity of an objective method, Sensor-Enabled
Radio-frequency Identification System for Monitoring Arm Activity (SERSMAA), that
distinguishes between functional and nonfunctional activity.
DESIGN: Cross-sectional study. SETTING: Laboratory. PARTICIPANTS: Participants (N=25)
were >/=0.2 years poststroke (median, 9) with a wide range of severity of
upper-extremity hemiparesis. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: After stroke, laboratory tests of the motor capacity of the
more-affected arm poorly predict spontaneous use of that arm in daily life.
However, available subjective methods for measuring everyday arm use are
vulnerable to self-report biases, whereas available objective methods only
provide information on the amount of activity without regard to its relation with
function. The SERSMAA consists of a proximity-sensor receiver on the
more-affected arm and multiple units placed on objects. Functional activity is
signaled when the more-affected arm is close to an object that is moved.
Participants were videotaped during a laboratory simulation of an everyday
activity, that is, setting a table with cups, bowls, and plates instrumented with
transmitters. Observers independently coded the videos in 2-second blocks with a
validated system for classifying more-affected arm activity. RESULTS: There was a
strong correlation (r=.87, P<.001) between time that the more-affected arm was
used for handling objects according to the SERSMAA and functional activity
according to the observers. CONCLUSIONS: The convergent validity of SERSMAA for
measuring more-affected arm functional activity after stroke was supported in a
simulation of everyday activity.
CI - Copyright (c) 2014 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS