COVID-19 has abruptly disrupted healthcare services; however, the continuity of rehabilitation could be guaranteed using mobile technologies. This review aims to analyze the feasibility and effectiveness of telehealth solutions proposed to guarantee the continuity of rehabilitation during the COVID-19 pandemic. The PubMed, Cochrane Library, Web of Science and PEDro databases were searched; the search was limited to randomized controlled trials, observational and explorative studies published up to 31 May 2022, assessing the feasibility and effectiveness of telerehabilitation during the COVID-19 pandemic. Twenty studies were included, for a total of 224,806 subjects: 93.1% with orthopedic complaints and 6.9% with non-orthopedic ones. The main strategies used were video and audio calls via commonly available technologies and free videoconferencing tools. Based on the current evidence, it is suggested that telerehabilitation is a feasible and effective solution, allowing the continuity of rehabilitation while reducing the risk of infection and the burden of travel. However, it is not widely used in clinical settings, and definitive conclusions cannot be currently drawn. Telerehabilitation seems a feasible and safe option to remotely deliver rehabilitation using commonly available mobile technologies, guaranteeing the continuity of care while respecting social distancing. Further research is, however, needed to strengthen and confirm these findings.

To evaluate the effectiveness of mobile health applications (mHealth apps) containing a physical training component on physical function and physical activity in stroke rehabilitation.A systematic ...

To review and quantify the effects of walking training for the improvement of various aspects of physical function of people with chronic stroke.We conducted a systematic search and meta-analysis o...

WHO defines physical activity (PA) as any bodily movement produced by skeletal muscles that requires energy expenditure (EE). The purpose of this study was to compare the EE estimations by ActiGraph GT3X+ with a gold standard measurement, the portable gas analyser in a set of 3 different PAs. This cross-sectional study involved 56 participants, age range (years, [min, max]: young people [20, 33], older adults [65, 83]). Participants completed a single session of three experimental PAs including biking, treadmill walking, and treadmill running. Each participant wore five GT3X+ triaxial accelerometers and a portable gas analyser used as the gold standard measurement. The GT3X+ were placed on the wrists, the waist (centred at the pelvis), and the ankles. ActiGraph GT3X+ and MetaMax3B records were investigated through intraclass correlation coefficient. Magnitude of measurement error was estimated using Effect Size. The GT3X+ wrist and GT3X+ waist underestimated EE regardless of the PA type. The GT3X+ ankles strongly overestimated EE during biking (mean bias = 489 ± 392%) and walking (mean bias = 106 ± 58%), while it underestimated EE during running (mean bias = −47 ± 27%). The ActiGraph GT3X+ does not provide accurate EE estimates across a range of placement locations during moderate and high-intensity PA.

After a stroke incident, physical inactivity is common. People with stroke may perceive several barriers to performing physical activity (PA). This study aimed to document the PA level and understand the barriers and facilitators to engaging in PA for community-dwelling stroke survivors in Benin, a lower middle-income country. A cross-sectional study was conducted in three hospitals in Benin. Levels of PA were recorded by means of the Benin version of the International Physical Activity Questionnaire long form (IPAQ-LF-Benin), which is validated for stroke survivors in Benin. The perceived exercise facilitators and barriers were assessed by the Stroke Exercise Preference Inventory-13 (SEPI-13). A descriptive analysis and associations were performed with a Confidence Interval of 95% and <0.05 level of significance. A total of 87 participants (52 men, mean age of 53 ± 10 years, mean time after a stroke of 11 (IQR: 15) months and an average of 264.5 ± 178.9 m as distance on the 6 min walking test (6MWT) were included. Overall, stroke survivors in Benin reached a total PA of 985.5 (IQR: 2520) metabolic equivalent (METs)-minutes per week and were least active at work, domestic, and leisure domains with 0 MET-minutes per week. The overview of PA level showed that 52.9% of participants performed low PA intensity. However, 41.4% performed moderate PA or walking per day for at least five days per week. Important perceived barriers were lack of information (45.3%), hard-to-start exercise (39.5%), and travelling to places to exercise (29.9%). The preference for exercise was with family or friends, outdoors, for relaxation or enjoyment (90.2%), and receiving feedback (78.3%). Several socio-demographic, clinical, and community factors were significantly associated with moderate or intense PA (p < 0.05) in stroke survivors in this study. Our findings show that the PA level among chronic stroke survivors in Benin is overall too low relative to their walking capacity. Cultural factors in terms of the overprotection of the patients by their entourage and/or the low health literacy of populations to understand the effect of PA on their health may play a role. There is a need for new approaches that consider the individual barriers and facilitators to exercise.