Task-oriented arm training for stroke patients based on remote handling technology concepts: A feasibility study.

BACKGROUND: Improving arm-hand skill performance is a major therapeutic target in stroke rehabilitation. Arm-hand rehabilitation may be enriched in content and variation by using technology-assisted training. Especially for people with a severely affected arm, technology-assisted training offers more challenging training possibilities. OBJECTIVE: The aim of this study was to explore the feasibility of ReHab-TOAT, a "Remote Handling Based Task-Oriented Arm Training" approach featuring enriched haptic feedback aimed at improving daily activities and participation. METHODS: Five subacute or chronic stroke patients suffering moderate to severe arm-hand impairments and five rehabilitation therapists participated. All participants received 2 ReHab-TOAT sessions. Outcome measure was a bespoke feasibility questionnaire on user experiences and satisfaction regarding 'motivation', 'individualization of training', 'potential training effects', and 'implementation in rehabilitation' of patients and therapists. RESULTS: Both patients and therapists experienced ReHab-TOAT as being feasible. They found ReHab-TOAT very motivating and challenging. All patients perceived an added value of ReHab-TOAT and would continue the training. Small improvements regarding exercise variability were suggested. CONCLUSION: ReHab-TOAT seems to be a feasible and very promising training approach for arm-hand rehabilitation of stroke patients with a moderately or severely affected arm. Further research is necessary to investigate potential training effects of ReHab-TOAT.

Feasibility study of a 10-week community-based program using the WalkWithMe application on physical activity, walking, fatigue and cognition in persons with Multiple Sclerosis.

BACKGROUND: People with Multiple Sclerosis (pwMS) show diverse symptoms, such as fatigue and decline in motor and cognitive function. Physical activity shows to have a positive impact on many of these symptoms. However, many pwMS lead sedentary lives. Objectives of this study were to evaluate the feasibility of prolonged use of the WalkWithMe, a personalized mobile application that supports pwMS in walking at home, and its effect on physical activity, walking, fatigue and cognition in persons with MS. METHODS: Nineteen pwMS were enrolled in a 10-week home-based intervention with the WalkWithMe application after setting personal goals based on baseline testing values, where twelve patients completed the program. Before and after the intervention, motor (6MWT, T25FW, 5-STS, NHPT) and cognitive function (PASAT and SDMT) were evaluated, together with the patient reported impact on walking, physical activity, quality of life and fatigue by MSWS-12, IPAQ, SF-36, MSIS-29, MFIS and FSS, respectively. RESULTS: Significant improvement was seen for some parts of self-reported physical activity and quality of life (IPAQ: walking, p = 0.04, leisure, p = 0.02; SF-36: physical functioning, p = 0.02), cognition (SDMT, p = 0.01), cognitive fatigability (PASAT, p = 0.05), lower limb strength (5-STS, p = 0.05) and dominant hand function (NHPT, p = 0.002). CONCLUSION: This feasibility study was successful at improving categories of self-reported physical activity, lower limb functional strength, hand function and cognition, but results need to be interpreted with caution, given the small and not always clinically relevant changes. Larger sample sizes in a controlled experimental design are needed to confirm these results.

The European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool: A digital training and decision support system for optimized exercise prescription in cardiovascular disease. Concept, definitions and construction methodology.

Background Exercise rehabilitation is highly recommended by current guidelines on prevention of cardiovascular disease, but its implementation is still poor. Many clinicians experience difficulties in prescribing exercise in the presence of different concomitant cardiovascular diseases and risk factors within the same patient. It was aimed to develop a digital training and decision support system for exercise prescription in cardiovascular disease patients in clinical practice: the European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool. Methods EXPERT working group members were requested to define (a) diagnostic criteria for specific cardiovascular diseases, cardiovascular disease risk factors, and other chronic non-cardiovascular conditions, (b) primary goals of exercise intervention, (c) disease-specific prescription of exercise training (intensity, frequency, volume, type, session and programme duration), and (d) exercise training safety advices. The impact of exercise tolerance, common cardiovascular medications and adverse events during exercise testing were further taken into account for optimized exercise prescription. Results Exercise training recommendations and safety advices were formulated for 10 cardiovascular diseases, five cardiovascular disease risk factors (type 1 and 2 diabetes, obesity, hypertension, hypercholesterolaemia), and three common chronic non-cardiovascular conditions (lung and renal failure and sarcopaenia), but also accounted for baseline exercise tolerance, common cardiovascular medications and occurrence of adverse events during exercise testing. An algorithm, supported by an interactive tool, was constructed based on these data. This training and decision support system automatically provides an exercise prescription according to the variables provided. Conclusion This digital training and decision support system may contribute in overcoming barriers in exercise implementation in common cardiovascular diseases.