Comparative study between the effect of traditional upper limb rehabilitation and modified constraint induced movement therapy in stroke

2017 ◽  
Vol 6 (3) ◽  
pp. 2432-2435
Author(s):  
Mohan Raj Manjalavil ◽  
◽  
Sooraj Rajagopal ◽  
Sreedevi Menon Parappi ◽  
◽  
...  
2020 ◽  
Vol 83 (11) ◽  
pp. 690-700
Author(s):  
Gillian Sweeney ◽  
Mark Barber ◽  
Andrew Kerr

Introduction The routine use of evidence-based upper limb rehabilitation interventions after stroke has the potential to improve function and increase independence. Two such interventions are Constraint Induced Movement Therapy and Robot Assisted Therapy. Despite evidence to support both interventions, their use within the National Health Service appears, anecdotally, to be low. We sought to understand user perceptions in order to explain low uptake in clinical practice. Methods A combination of a cross-sectional online survey with therapists and semi-structured interviews with stroke patients was used to explore uptake and user opinions on the benefits, enablers and barriers to each intervention. Findings The therapists surveyed reported low use of Constraint Induced Movement Therapy and Robot Assisted Therapy in clinical practice within the Scottish National Health Service. Barriers identified by therapists were inadequate staffing, and a lack of training and resources. Interviews with stroke patients identified themes that may help us to understand the acceptability of each intervention, such as the impact of motivation. Conclusion Barriers to the uptake of Constraint Induced Movement Therapy and Robot Assisted Therapy within the clinical setting were found to be similar. Further qualitative research should be completed in order to help us understand the role patient motivation plays in uptake.


2015 ◽  
Vol 10 (8) ◽  
pp. 1253-1260 ◽  
Author(s):  
Penelope A. McNulty ◽  
Angelica G. Thompson-Butel ◽  
Steven G. Faux ◽  
Gaven Lin ◽  
Pesi H. Katrak ◽  
...  

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Baoguo XU ◽  
Si PENG ◽  
Aiguo SONG

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