Literature DB >> 12234090

Assessing the motor status score: a scale for the evaluation of upper limb motor outcomes in patients after stroke.

Mark Ferraro1, Jennifer Hogan Demaio, Jennifer Krol, Chris Trudell, Keren Rannekleiv, Lisa Edelstein, Paul Christos, Mindy Aisen, Jill England, Susan Fasoli, H I Krebs, N Hogan, Bruce T Volpe.   

Abstract

The Motor Status Scale (MSS) measures shoulder, elbow (maximum score = 40), wrist, hand, and finger movements (maximum score = 42), and expands the measurement of upper extremity impairment and disability provided by the Fugl-Meyer (FM) score. This work examines the interrater reliability and criterion validity of the MSS performed in patients admitted to a rehabilitation hospital 21 +/- 4 days after stroke. Using the MSS and the FM, 7 occupational therapists masked to each other's judgments, evaluated 12 consecutive patients with stroke. Two therapists evaluated 6 additional patients on consecutive days. Intraclass correlation coefficients were significant for each group of raters for the shoulder/elbow and for the wrist/band (P < 0.0001); test-retest measures were also significant for the shoulder/elbow (Pearson correlation coefficient r = 0.99, P < 0.004) and for the wrist/hand (Pearson correlation coefficient r = 0.99, P < 0.003). The internal item consistency for the overall MSS was significant (Cronbach alpha = 0.98, P < 0.0001). Finally the correlation between the MSS and the FM (R2 = 0.964) was significant (P < 0.0001). The MSS affords a reliable and valid assessment of upper limb impairment and disability following stroke.

Entities:  

Mesh:

Year:  2002        PMID: 12234090     DOI: 10.1177/154596830201600306

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  18 in total

Review 1.  Interventions for improving upper limb function after stroke.

Authors:  Alex Pollock; Sybil E Farmer; Marian C Brady; Peter Langhorne; Gillian E Mead; Jan Mehrholz; Frederike van Wijck
Journal:  Cochrane Database Syst Rev       Date:  2014-11-12

2.  Effects of the Alternate Combination of "Error-Enhancing" and "Active Assistive" Robot-Mediated Treatments on Stroke Patients.

Authors:  Peppino Tropea; Benedetta Cesqui; Vito Monaco; Sara Aliboni; Federico Posteraro; Silvestro Micera
Journal:  IEEE J Transl Eng Health Med       Date:  2013-07-24       Impact factor: 3.316

Review 3.  Robotics and other devices in the treatment of patients recovering from stroke.

Authors:  Bruce T Volpe; Mark Ferraro; Daniel Lynch; Paul Christos; Jennifer Krol; Christine Trudell; Hermano I Krebs; Neville Hogan
Journal:  Curr Neurol Neurosci Rep       Date:  2005-11       Impact factor: 5.081

4.  Therapeutic Robotics: A Technology Push: Stroke rehabilitation is being aided by robots that guide movement of shoulders and elbows, wrists, hands, arms and ankles to significantly improve recovery of patients.

Authors:  Hermano Igo Krebs; Neville Hogan
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2006-09-01       Impact factor: 10.961

Review 5.  Robotics and other devices in the treatment of patients recovering from stroke.

Authors:  Bruce T Volpe; Mark Ferraro; Daniel Lynch; Paul Christos; Jennifer Krol; Christine Trudell; Hermano I Krebs; Neville Hogan
Journal:  Curr Atheroscler Rep       Date:  2004-07       Impact factor: 5.113

Review 6.  Robotics in the rehabilitation treatment of patients with stroke.

Authors:  Bruce T Volpe; Mark Ferraro; Hermano I Krebs; Neville Hogan
Journal:  Curr Atheroscler Rep       Date:  2002-07       Impact factor: 5.113

7.  Kinematic robot-based evaluation scales and clinical counterparts to measure upper limb motor performance in patients with chronic stroke.

Authors:  Caitlyn Bosecker; Laura Dipietro; Bruce Volpe; Hermano Igo Krebs
Journal:  Neurorehabil Neural Repair       Date:  2009-08-14       Impact factor: 3.919

8.  Intensive sensorimotor arm training mediated by therapist or robot improves hemiparesis in patients with chronic stroke.

Authors:  Bruce T Volpe; Daniel Lynch; Avrielle Rykman-Berland; Mark Ferraro; Michael Galgano; Neville Hogan; Hermano I Krebs
Journal:  Neurorehabil Neural Repair       Date:  2008-01-09       Impact factor: 3.919

Review 9.  Evaluation of Performance-Based Outcome Measures for the Upper Limb: A Comprehensive Narrative Review.

Authors:  Sophie Wang; C Janice Hsu; Lauren Trent; Tiffany Ryan; Nathan T Kearns; Eugene F Civillico; Kimberly L Kontson
Journal:  PM R       Date:  2018-02-21       Impact factor: 2.298

Review 10.  Robotic neurorehabilitation: a computational motor learning perspective.

Authors:  Vincent S Huang; John W Krakauer
Journal:  J Neuroeng Rehabil       Date:  2009-02-25       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.