Objective : The purpose of this study was to find the correlations among Postural Assessment Scale for Stroke(PASS), Trunk Control Test(TCT), Berg Balance Scale(BBS), Fugl-Meyer Balance(FMB) Assessment, and Modified Barthel Index(MBI).
Methods : The subjects were 43 chronic stoke patients of the Korea National Rehabilitation Center in Seoul. All patients were assessed on trunk control measured using PASS and TCT, on ADL using MBI, and on balance using BBS and FM-B. The data were analyzed using a pearson product correlation. MBI & PASS scale among other clinical and instrumental indexes, and multiple stepwise regression analysis, were peformed to identify the prognostic factors for PASS-subscale, FM-B, TCT, BBS, and ADL incline.
Results : The results of this study were as follows: There were significant correlations between PASS and TCT (r=.79~.96), PASS & TCT, BBS, FM-B (r=.65~.82), and MBI (r=.75~.79). There were also significant correlations between BBS & FM-B (r=.77~.78) and FM-B & BBS (r=.84)(p<.01). The walking item in the MBI subscale showed the strongest variance in PASS-Maintaining Posture, Changing Posture, Total, FM-B (p<.001), TCT, and BBS (p<.01). The unsupported standing item in the PASS subscale showed the strongest variance in ADL, FM-B, TCT, and BBS(p<.001). The PASS Total score was the strongest variance of the ADL (p<.01). The unsupported standing item of the PASS subscale showed the strongest variance in personal hygiene, bathing one's self, toilet, stair climbing, ambulation, and chair․bed transfer (p<.001), while supine to the affected side lateral and supine to sitting up on the edge of the table items showed the strongest variance in dressing(p<.001) and feeding (p<.01).
Conclusion : The use of both quantitative and qualitative scales was shown to be a good measuring instrument for the classification of the general performance of stroke patients. Further study on PASS, TCT, BBS, FM-B, MBI is needed using a longitudinal study design.