scholarly journals Exploration of barriers and enablers for evidence-based interventions for upper limb rehabilitation following a stroke: Use of Constraint Induced Movement Therapy and Robot Assisted Therapy in NHS Scotland

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.

2014 ◽  
Vol 26 (02) ◽  
pp. 1450025 ◽  
Author(s):  
Franciso J. Badesa ◽  
Ana Llinares ◽  
Ricardo Morales ◽  
Nicolas Garcia-Aracil ◽  
Jose M. Sabater ◽  
...  

Cerebrovascular accident or stroke in aging population is the primary cause of disability and the second leading cause of death in many countries, including Spain. Arm impairment is common and the recovery is partly dependent on the intensity and frequency of rehabilitation intervention. However, physical therapy resources are often limited, so methods of supplementing traditional physiotherapy, such as robot assisted therapy, are essential. This paper describes design, development and control aspects of a planar robot driven by pneumatic swivel modules for upper-limb rehabilitation of post-stroke patients. Moreover, first experimental results with one post-stroke patient are presented to show the benefits of using the proposed system.


2020 ◽  
Author(s):  
Lei Lu ◽  
Ying Tan ◽  
Marlena Klaic ◽  
Mary P. Galea ◽  
Fary Khan ◽  
...  

AbstractEvaluating progress throughout a patient’s rehabilitation episode is critical for determining effectiveness of the selected treatments and contributing to the evidence-based practice. The evaluation process is complex due to the inherent large human variations in motor recovery and the limitations of commonly used clinical measurement tools. Information recorded during a robot-assisted rehabilitation process can provide an effective means to continuously quantitatively assess movement performance and rehabilitation progress. However, selecting appropriate motion features for rehabilitation evaluation has always been challenging. This paper exploits unsupervised feature learning techniques to reduce the complexity of building the evaluation model of patients’ progress. A new feature learning technique is developed to select the most significant features from a large amount of kinematic features measured from robotics, providing clinically useful information to health practitioners with reduction of modeling complexity. A novel indicator that can reflect monotonicity and trendability is proposed to evaluate the suitability of kinematic features, which are derived from the collected data of a population of stroke patients participating in robot-aided rehabilitation. The selected kinematic features allow for human variations across a population of patients as well as over the sequence of rehabilitation sessions. The study is based on data records pertaining to 41 stroke patients using three different robot assisted exercises for upper limb rehabilitation. Consistent with the literature, the results indicate that features based on movement smoothness are the best measures among 17 kinematic features used to evaluate rehabilitation progress.


2017 ◽  
Vol 38 (9) ◽  
pp. 1561-1569 ◽  
Author(s):  
Rachele Bertani ◽  
Corrado Melegari ◽  
Maria C. De Cola ◽  
Alessia Bramanti ◽  
Placido Bramanti ◽  
...  

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