Attitudes towards a sensor-feedback technology in gait rehabilitation of patients after stroke.
Marianne NieboerLi-Juan JieLydia WillemseSebastiaan PeekSusy BraunEveline WoutersPublished in: Disability and rehabilitation. Assistive technology (2021)
In a sub sample of stroke patients the ability to receive real-time feedback during practice about walking performance at home was viewed positively. Six participants did not or hardly used the sensor-feedback technology, even though they were positive about potential benefits. This implies that mHealth is not eligible for all individuals. To improve adherence various considerations were derived from this study, that may further optimise the frequency and personalise the use of the technology.IMPLICATIONS FOR REHABILITATIONThe frequency of use of a sensor-feedback technology in gait rehabilitation varied a lot in a cross-sectional sample of people after stroke.Patients after stroke seemed to have a positive attitude towards a sensor-feedback technology to support unsupervised practice of walking. However, this was unrelated to whether they had used or had not used the technology.Moderate and frequent users of the sensor-feedback technology reported the ability to integrate sensor-feedback technology in daily life and social support as important factors for use.For clinical practice in gait rehabilitation it is important to screen which patients are capable to use and may benefit from a technology as the one used in this study.
Keyphrases
- end stage renal disease
- social support
- ejection fraction
- newly diagnosed
- clinical practice
- primary care
- healthcare
- chronic kidney disease
- depressive symptoms
- physical activity
- machine learning
- metabolic syndrome
- peritoneal dialysis
- climate change
- insulin resistance
- cerebral palsy
- patient reported outcomes
- lower limb
- glycemic control
- patient reported