BACKGROUND AND PURPOSE: After stroke, many individuals lack resources to receive the intensive rehabilitation that is thought to improve upper extremity motor function. This case study describes the application of a telerehabilitation intervention using a portable robotic device combined with a home exercise program (HEP) designed to improve upper extremity function. CASE DESCRIPTION: The participant was a 54-year-old man, 22 weeks following right medullary pyramidal ischemic infarct. At baseline, he exhibited residual paresis of the left upper extremity, resulting in impaired motor control consistent with a flexion synergistic pattern, scoring 22 of 66 on the Fugl-Meyer Assessment. INTERVENTION: The participant completed 85 total hours of training (38 hours of robotic device and 47 hours of HEP) over the 8-week intervention period. OUTCOMES: The participant demonstrated an improvement of 26 points on the Action Research Arm Test, 5 points on the Functional Ability Scale portion of the Wolf Motor Function Test, and 20 points on the Fugl-Meyer Assessment, all of which surpassed the minimal clinically important difference. Of the 17 tasks of the Wolf Motor Function Test, he demonstrated improvement on 11 of the 15 time-based tasks and both strength measures. The participant reported an overall improvement in his recovery from stroke on the Stroke Impact Scale quality-of-life questionnaire from 40 of 100 to 65 of 100. His score on the Center for Epidemiologic Studies Depression Scale improved by 19 points. DISCUSSION: This case demonstrates that robotic-assisted therapy paired with an HEP can be successfully delivered within a home environment to a person with stroke. Robotic-assisted therapy may be a feasible and efficacious adjunct to an HEP program to elicit substantial improvements in upper extremity motor function, especially in those persons with stroke who lack access to stroke rehabilitation centers.
BACKGROUND AND PURPOSE: After stroke, many individuals lack resources to receive the intensive rehabilitation that is thought to improve upper extremity motor function. This case study describes the application of a telerehabilitation intervention using a portable robotic device combined with a home exercise program (HEP) designed to improve upper extremity function. CASE DESCRIPTION: The participant was a 54-year-old man, 22 weeks following right medullary pyramidal ischemic infarct. At baseline, he exhibited residual paresis of the left upper extremity, resulting in impaired motor control consistent with a flexion synergistic pattern, scoring 22 of 66 on the Fugl-Meyer Assessment. INTERVENTION: The participant completed 85 total hours of training (38 hours of robotic device and 47 hours of HEP) over the 8-week intervention period. OUTCOMES: The participant demonstrated an improvement of 26 points on the Action Research Arm Test, 5 points on the Functional Ability Scale portion of the Wolf Motor Function Test, and 20 points on the Fugl-Meyer Assessment, all of which surpassed the minimal clinically important difference. Of the 17 tasks of the Wolf Motor Function Test, he demonstrated improvement on 11 of the 15 time-based tasks and both strength measures. The participant reported an overall improvement in his recovery from stroke on the Stroke Impact Scale quality-of-life questionnaire from 40 of 100 to 65 of 100. His score on the Center for Epidemiologic Studies Depression Scale improved by 19 points. DISCUSSION: This case demonstrates that robotic-assisted therapy paired with an HEP can be successfully delivered within a home environment to a person with stroke. Robotic-assisted therapy may be a feasible and efficacious adjunct to an HEP program to elicit substantial improvements in upper extremity motor function, especially in those persons with stroke who lack access to stroke rehabilitation centers.
Authors: Steven L Wolf; Paul A Thompson; Carolee J Winstein; J Phillip Miller; Sarah R Blanton; Deborah S Nichols-Larsen; David M Morris; Gitendra Uswatte; Edward Taub; Kathye E Light; Lumy Sawaki Journal: Stroke Date: 2010-09-02 Impact factor: 7.914
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