Does robot-assisted gait training improve mobility, activities of daily living and quality of life in stroke? A single-blinded, randomized controlled trial

2020 ◽  
Vol 120 (2) ◽  
pp. 335-344
Author(s):  
Rustem Mustafaoglu ◽  
Belgin Erhan ◽  
Ipek Yeldan ◽  
Berrin Gunduz ◽  
Ela Tarakci
Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Ching-yi Wu ◽  
Pai-chuan Huang ◽  
Fu-han Hsieh ◽  
Man-chiao Hsiao ◽  
Hsiao-wen Chen

Background: Robot-assisted therapy (RT) is an effective approach to promote upper extremity motor recovery in patients with stroke. Previous research showed that severely affected patients were less responsive to RT than those with mild to moderate motor severity. It’s necessary to develop a combined therapy which can expand the optimal treatment effect of RT to all kinds of stroke patients. Neuromuscular electrical stimulation (ES) could be used to supplement RT to improve movement awareness and output. Purpose: To compare the effects of RT with ES, dose-matched RT with placebo ES, and conventional rehabilitation (CR) on motor and daily function, and quality of life in patients with chronic stroke. Methods: This is a single-blind randomized controlled trial. There were 30 patients with chronic stroke who were randomly assigned to one of the three groups: (1) RT with neuromuscular ES (RT+ES); (2) RT with placebo ES (no stimulations into the electrodes); (3) CR. All participants engaged in 90 to 105 minutes of training in each session, 5 times a week for 4 weeks. Outcome measures were Action Research Arm Test (ARAT) for motor function, accelerometer data of 3-day active level in affected hand for daily function, and Stroke Impact Scale (SIS) for quality of life. Analysis of covariance was used to compare the treatment effects among groups. Results: Significant between-group differences favoring the RT+ES group were shown on the grip subtest of ARAT (η2=.614, p <.05,) and the activity of accelerometer (η2=.260, p <.05) while a non-significant trend but large effect favoring RT+ES was observed on total score of ARAT (η2=.192, p=.411). A group effect favoring CR group on activity of daily living subscale of SIS was revealed (η2=.286, p <.05). There were no statistically significant differences on other outcome measures. Conclusions: Providing four weeks of RT+ES during chronic stroke appears to produce further improvements on hand grip and active level of affected hand in daily living than providing CR alone. Adding ES to RT could provide additional effect, given that active level of affected hand did not improved in the placebo group. Future study may incorporate more task-oriented practice into RT+ES treatment program to enhance treatment effects on life quality.


Gerontology ◽  
2021 ◽  
pp. 1-8
Author(s):  
Arkers Kwan Ching Wong ◽  
Frances Kam Yuet Wong ◽  
Karen Kit Sum Chow ◽  
Siu Man Wong

<b><i>Background:</i></b> Although homebound older adults are among the highest users of hospital services, the existing health and social services that are provided to them in the community are limited and fragmented. This study attempts to bring this group of older adults to providers’ attention by designing a health-social-oriented self-care mobile Health (mHealth) program and subjecting it to empirical testing. The aim of this study is to shift the current reactive, cure-oriented approach to a preventive and health-promoting model, empowering homebound older adults to take an active role in their health, be responsive to their care needs, and subsequently improve their holistic health. <b><i>Methods:</i></b> This is a pilot randomized controlled trial. The study is supported by 5 community centers with an estimated sample size of 68 subjects. The subjects will be randomly assigned to video-based mHealth or control groups when they (1) are aged 60 or over, (2) go outdoors less than once a week in the current 6 months, (3) live within the service areas, and (4) use a smartphone. Subjects in the video-based mHealth group will receive a 3-month program comprising 2 main interventions: nurse case management supported by a social service team and video messages covering self-care topics, delivered via smartphone. The control group will receive usual care. Data will be collected at 2 time points – pre-intervention (T1) and post-intervention (T2). The primary outcome will be self-efficacy, and secondary outcomes will include health outcomes (activities of daily living, instrumental activities of daily living, and medication adherence), perceived well-being outcomes (quality of life and depression), and health service utilization outcomes (outpatient clinic, emergency room, and hospital admission). <b><i>Discussion:</i></b> The current study will add to the knowledge gap in using mHealth supported by a health-social team to enhance quality of life and self-care and meet the needs of these particularly vulnerable older adults.


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