Document Type : Original Articles

Authors

1 Rehabilitation Research Center, Department of Occupational Therapy. School of Rehabilitation Sciences, Iran University of Medical Sciences (IUMS), Tehran, Iran

2 Rehabilitation Research Center, Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran

3 Rehabilitation Research Center, Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Science (IUMS);Tehran, Iran

10.30476/jrsr.2022.92680.1213

Abstract

Background: Pain in patients with stroke is one of the essential factors that can
influence upper-limb performance, and it is better to divide these people into
separate groups. The Adult-Assisting Hand Assessment (Ad-AHA) is a tool that
recently is being used in upper-limb performance evaluation among patients
with stroke. The present study aimed to evaluate the diagnostic accuracy of the
Ad-AHA among patients with chronic stroke who had pain to discriminate
between the high upper-limb performance group and the low upper-limb
performance group.
Methods: In this cross-sectional study, 51 patients (mean age±SD = 69.33±8.73)
with chronic stroke who had pain participated and were divided into two groups
of high (group 1) and low (group 2) upper-limb performance measured by
the Action Reach Arm Test. The best cutoff point between groups, sensitivity,
and specificity by receiver operating characteristic (ROC) for Ad-AHA was
calculated.
Results: A significant difference in the total score of Ad-AHA between the
high and low upper-limb performance groups was seen (P˂0.001). The best
cutoff point for the total score of Ad-AHA between stroke patients with high
and low performance in the upper-limb who had pain was 47 (sensitivity=95.45,
specificity=89.21).
Conclusion: The results of this study show that the Ad-AHA has high sensitivity
and specificity to discriminate between stroke patients with high and low
performance in upper-limb performance who had pain.

Keywords

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