VALIDITY AND RESPONSIVENESS OF THE RIVERMEAD MOBILITY INDEX IN STROKE PATIENTS

2000 ◽  
Vol 32 (3) ◽  
pp. 140-142 ◽  
Author(s):  
Ching-Lin Hsieh, I-Ping Hsueh, Hui-Fen Mao
2014 ◽  
Vol 30 (5) ◽  
pp. 353-359 ◽  
Author(s):  
Raymond Chi-Chung Tsang ◽  
Rosanna Mei-Wa Chau ◽  
Terence Hau-Wai Cheuk ◽  
Benny Shu-Pui Cheung ◽  
Donna Mei-Yee Fung ◽  
...  

2019 ◽  
Vol 39 (02) ◽  
pp. 125-132
Author(s):  
Ji Young Lim ◽  
Seung Heon An ◽  
Dae-Sung Park

Background: The cut-off values of walking velocity and classification of functional mobility both have a role in clinical settings for assessing the walking function of stroke patients and setting rehabilitation goals and treatment plans. Objective: The present study investigated whether the cut-off values of the modified Rivermead Mobility Index (mRMI) and walking velocity accurately differentiated the walking ability of stroke patients according to the modified Functional Ambulation Category (mFAC). Methods: Eighty two chronic stroke patients were included in the study. The comfortable/maximum walking velocities and mRMI were used to measure the mobility outcomes of these patients. To compare the walking velocities and mRMI scores for each mFAC point, one-way analysis of variance and the post-hoc test using Scheffe’s method were performed. The patients were categorized according to gait ability into either [Formula: see text] or mFAC[Formula: see text][Formula: see text][Formula: see text]VI group. The cut-off values for mRMI and walking velocities were calculated using a receiver-operating characteristic curve. The odds ratios of logistic regression analysis (Wald Forward) were analyzed to examine whether the cut-off values of walking velocity and mRMI can be utilized to differentiate functional walking levels. Results: Except for mFACs III and IV, maximum walking velocity differed between mFAC IV and mFAC V [Formula: see text], between mFAC V and mFAC VI [Formula: see text], and between mFAC VI and mFAC VII [Formula: see text]. The cut-off value of mRMI is [Formula: see text] and the area under the curve is 0.87, respectively; the cut-off value for comfortable walking velocity is [Formula: see text][Formula: see text]m/s and the area under the curve is 0.92, respectively; also, the cut-off value for maximum walking velocity is [Formula: see text][Formula: see text]m/s and the area under the curve is 0.97, respectively. In the logistic regression analysis, the maximum walking velocity [Formula: see text][Formula: see text]m/s, [Formula: see text] and mRMI [Formula: see text] scores, [Formula: see text] are able to distinguish [Formula: see text] from mFAC[Formula: see text][Formula: see text][Formula: see text]VI. Conclusion: The cut-off values of maximum walking velocity and mRMI are recommended as useful outcome measures for assessing ambulation levels in chronic stroke patients during rehabilitation.


2000 ◽  
Vol 7 (5) ◽  
pp. 523-528 ◽  
Author(s):  
M. R. Schindl ◽  
C. Forstner ◽  
H. Kern ◽  
H. T. Zipko ◽  
M. Rupp ◽  
...  

2010 ◽  
Vol 68 (1) ◽  
pp. 52-55 ◽  
Author(s):  
Karina Pavan ◽  
Luciana Carneiro Alaman da Cruz ◽  
Michele Figueira Nunes ◽  
Liliam Gakiya Menezes ◽  
Bruna Eriko Matsuda Marangoni

The aim of this project is to carry out the cross-cultural adaptation and validation of the assessment instrument known as the Rivermead Mobility Index (RMI) within the Brazilian cultural context and in Brazilian Portuguese for people suffering from strokes. The RMI was translated into Portuguese and translated back into English by independent bi-lingual translators, preserving the characteristics of the psychometrics in the original scale. After the formulation of the final version, a test and retest were carried out with an interval of one week. Ninety-five stroke patients took part in the study. The results obtained for sensibility, specificity and reliability were high We conclude that the Brazilian version of the RMI (RMI-BR) is a valid tool for Brazilian stroke patients.


Author(s):  
Nkiruka Arene ◽  
Argye E. Hillis

Abstract The syndrome of unilateral neglect, typified by a lateralized attention bias and neglect of contralateral space, is an important cause of morbidity and disability after a stroke. In this review, we discuss the challenges that face researchers attempting to elucidate the mechanisms and effectiveness of rehabilitation treatments. The neglect syndrome is a heterogeneous disorder, and it is not clear which of its symptoms cause ongoing disability. We review current methods of neglect assessment and propose logical approaches to selecting treatments, while acknowledging that further study is still needed before some of these approaches can be translated into routine clinical use. We conclude with systems-level suggestions for hypothesis development that would hopefully form a sound theoretical basis for future approaches to the assessment and treatment of neglect.


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