Ultralight wheelchair part failures are associated with sensor-monitored road shocks: A pilot study

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.

Authors

Institutions

Publication Details

Journal
Assistive Technology
Published
2025-01-27
DOI
https://doi.org/10.1080/10400435.2024.2448178
Citations
3
Primary Topic
Spinal Cord Injury Research
Type
article
Field-Weighted Citation Impact
4.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultralight wheelchair part failures are associated with sensor-monitored road shocks: A pilot study

Benno Hess, Anand Mhatre, Alyssa Boccardi, Fangzheng Wu et al.
3 citations
Assistive Technology
Spinal Cord Injury Research
4.41
article

Ultralight wheelchair part failures are associated with sensor-monitored road shocks: A pilot study

Benno Hess, Anand Mhatre, Alyssa Boccardi, Fangzheng Wu, Carmen DiGiovine
article en
3 citations

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.

Assistive TechnologyVol. 37(2)
University of Pittsburgh (US), The Ohio State University (US)
University of Pittsburgh, National Institutes of Health
Sustainable cities and communities
Openalex Percentile: Top 7%
Spinal Cord Injury Research
4.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Ultralight wheelchair part failures are associated with sensor-monitored road shocks: A pilot study — Benno Hess, Anand Mhatre, et al. · Assistive Technology (2025) | TGRS Research Map | TGRS