ArticleAssistive technology : the official journal of RESNA2025
Ultralight wheelchair part failures are associated with sensor-monitored road shocks: A pilot study.
Article in Assistive technology : the official journal of RESNA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Reliability assessment of power wheelchairs.The journal of spinal cord medicine · 2026Article
- Wheelchair Servicing for Older Adults: Cross-Sectional Study.JMIR rehabilitation and assistive technologies · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Wheelchair part failures and repairs have significantly increased over the last decade, leading to severe consequences for wheelchair users. Servicing these devices by wheelchair repair technicians has reduced part failures. However, no tools or technologies have been developed to support servicing in practice. To inform servicing events, risk factors affecting wheelchair quality and reliability need to be identified. This pilot study tracks wheelchair usage for a week in the community for eight ultralight manual wheelchair users and assesses the relationship between usage variables and user-reported part failures over 20 months. The participants' preferences for using smart technology for wheelchair servicing were evaluated. At least 73 wheelchair part failures and two adverse consequences were reported. Data analysis indicated associations between part failure frequency, usage variable of road shocks, wheelchair maintenance frequency, and the user's demographic characteristics of training status and transportation. Six participants favored using smart technology for wheelchair servicing. This study's findings encourage the development of usage monitoring technology and failure prediction models to support technician-led servicing and prevent wheelchair failures and user consequences.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.