Acceptance of Assistive Technology by Users with Motor Disabilities Due to Spinal Cord or Acquired Brain Injuries: A Systematic Review.
Sara VenturaGiovanni OttoboniAlessandro PappadàAlessia TessariPublished in: Journal of clinical medicine (2023)
Acquired motor limits can be provoked by neurological lesions. Independently of the aetiologies, the lesions require patients to develop new coping strategies and adapt to the changed motor functionalities. In all of these occasions, what is defined as an assistive technology (AT) may represent a promising solution. The present work is a systematic review of the scientific AT-related literature published in the PubMed, Cinahl, and Psychinfo databases up to September 2022. This review was undertaken to summarise how the acceptance of AT is assessed in people with motor deficits due to neurological lesions. We review papers that (1) dealt with adults (≥18 years old) with motor deficits due to spinal cord or acquired brain injuries and (2) concerned user acceptance of hard AT. A total of 615 studies emerged, and 18 articles were reviewed according to the criteria. The constructs used to assess users' acceptance mainly entail people's satisfaction, ease of use, safety and comfort. Moreover, the acceptance constructs varied as a function of participants' injury severity. Despite the heterogeneity, acceptability was mainly ascertained through pilot and usability studies in laboratory settings. Furthermore, ad-hoc questionnaires and qualitative methods were preferred to unstandardized protocols of measurement. This review highlights the way in which people living with acquired motor limits greatly appreciate ATs. On the other hand, methodological heterogeneity indicates that evaluation protocols should be systematized and finely tuned.
Keyphrases
- spinal cord
- traumatic brain injury
- systematic review
- spinal cord injury
- end stage renal disease
- depressive symptoms
- single cell
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- randomized controlled trial
- neuropathic pain
- clinical trial
- resting state
- artificial intelligence
- machine learning
- blood brain barrier
- big data
- case control