Community mobility and participation assessment of manual wheelchair users: a review of current techniques and challenges
- PMID: 38249574
- PMCID: PMC10796510
- DOI: 10.3389/fnhum.2023.1331395
Community mobility and participation assessment of manual wheelchair users: a review of current techniques and challenges
Abstract
According to the World Health Organization, hundreds of individuals commence wheelchair use daily, often due to an injury such as spinal cord injury or through a condition such as a stroke. However, manual wheelchair users typically experience reductions in individual community mobility and participation. In this review, articles from 2017 to 2023 were reviewed to identify means of measuring community mobility and participation of manual wheelchair users, factors that can impact these aspects, and current rehabilitation techniques for improving them. The selected articles document current best practices utilizing self-surveys, in-clinic assessments, and remote tracking through GPS and accelerometer data, which rehabilitation specialists can apply to track their patients' community mobility and participation accurately. Furthermore, rehabilitation methods such as wheelchair training programs, brain-computer interface triggered functional electric stimulation therapy, and community-based rehabilitation programs show potential to improve the community mobility and participation of manual wheelchair users. Recommendations were made to highlight potential avenues for future research.
Keywords: GPS tracking; barriers; brain-computer interface; community mobility; community participation; community-based assessment; health-related quality of life; wheelchair.
Copyright © 2024 Fasipe, Goršič, Rahman and Rammer.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
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References
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- Achanccaray D., Pacheco K., Carranza E., Hayashibe M. (2018). “Immersive virtual reality feedback in a brain computer interface for upper limb rehabilitation,” in Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, 1006–1010.
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