Advertisement

Development of a Wheelchair Repair Registry

Published:March 14, 2021DOI:https://doi.org/10.1016/j.apmr.2021.02.023

      Highlights

      • A novel Wheelchair Repair Registry has been systematically developed.
      • The registry contains repairs from more than 5000 devices and continues to be populated.
      • Registry data can support research on the reliability of wheeled mobility devices.

      Abstract

      Objective

      To describe the development of a wheelchair repair registry from large datasets to attain an understanding of wheelchair failures and service repairs.

      Design

      Guidelines for registry development were applied and anchored around Labor-Tracker, a web-based information management system for wheelchair suppliers to manage and track wheelchair repairs. The registry was designed using online analytical processing, allowing for rapid data queries from multiple dimensions that enable complex data analysis and discovery.

      Setting

      The Wheelchair Repair Registry (WRR) was developed through an industry and academic collaboration whereby repair data were collected in the field, entered into the Labor-Tracker system, deidentified, and then transferred to the registry and made available for analyses.

      Participants

      Wheelchair supplier service technicians reported data from repair services provided to individuals who use power wheelchairs, manual wheelchairs, and scooters.

      Interventions

      Not applicable.

      Main Outcome Measures

      Wheelchair failure and repair data, including variables related to scheduling, equipment information (eg, manufacturer, model, serial number, purchase date), labor, parts, and reasons for repairs.

      Results

      The WRR was developed to analyze wheelchair repairs and failures from the Labor-Tracker system. Currently, the registry has more than 60,000 repairs conducted on more than 5000 wheelchair devices from 25 manufacturers. The devices include 60% power wheelchairs, 35% manual wheelchairs, and 5% scooters.

      Conclusions

      The WWR creates opportunities to apply large-data analytical methodologies that will serve to inform quality standards, practice, equipment selection, preventative maintenance routines, product design, and policy.

      Keywords

      List of abbreviations:

      OLAP (online analytical processing), VGM (Van G. Miller Group), WMS (wheeled mobility and seating), WRR (Wheelchair Repair Registry)
      To read this article in full you will need to make a payment

      Subscribe:

      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

      1. World Health Organization. World report on disability. Available at:https://www.who.int/teams/noncommunicable-diseases/sensory-functions-disability-and-rehabilitation/world-report-on-disability. Accessed July 31, 2020.

        • Lange ML
        • Minkel J.
        Seating and wheeled mobility: a clinical resource guide.
        Slack Books, Thorofare2017
        • Toro ML
        • Worobey L
        • Boninger ML
        • Cooper RA
        • Pearlman J.
        Type and frequency of reported wheelchair repairs and related adverse consequences among people with spinal cord injury.
        Arch Phys Med Rehabil. 2016; 97: 1753-1760
        • McClure LA
        • Boninger ML
        • Oyster ML
        • et al.
        Wheelchair repairs, breakdown, and adverse consequences for people with traumatic spinal cord injury.
        Arch Phys Med Rehabil. 2009; 90: 2034-2038
        • Worobey L
        • Oyster M
        • Nemunaitis G
        • Cooper R
        • Boninger ML.
        Increases in wheelchair breakdowns, repairs, and adverse consequences for people with traumatic spinal cord injury.
        Am J Phys Med Rehabil. 2012; 91: 463-469
        • Henderson GV
        • Boninger ML
        • Dicianno BE
        • Worobey LA.
        Type and frequency of wheelchair repairs and resulting adverse consequences among veteran wheelchair users.
        Disabil Rehabil Assist Technol. 2020 Aug 7; ([Epub ahead of print])
        • Hogaboom NS
        • Worobey LA
        • Houlihan BV
        • Heinemann AW
        • Boninger ML.
        Wheelchair breakdowns are associated with pain, pressure injuries, rehospitalization, and self-perceived health in full-time wheelchair users with spinal cord injury.
        Arch Phys Med Rehabil. 2018; 99: 1949-1956
        • Gliklich RE
        • Leavy MB
        • Karl J
        • Campion DM
        • Levy D
        • Berliner E.
        A framework for creating standardized outcome measures for patient registries.
        J Comp Eff Res. 2014; 3: 473-480
        • Schmeler MR
        • Schein RM
        • Saptono A
        • Schiappa VJ.
        Development and implementation of a wheelchair outcomes registry.
        Arch Phys Med Rehabil. 2019; 100: 1779-1781
        • Boulil K
        • Le Ber F
        • Bimonte S
        • Grac C
        • Cernesson F
        Multidimensional modeling and analysis of large and complex watercourse data: an OLAP-based solution.
        Ecol Inform. 2014; 24: 90-106
        • Scotch M
        • Parmanto B.
        Development of SOVAT: a numerical-spatial decision support system for community health assessment research.
        Int J Med Inform. 2006; 75: 771-784
        • Parmanto B
        • Paramita M V
        • Sugiantara W
        • Pramana G
        • Scotch M
        • Burke DS.
        Spatial and multidimensional visualization of Indonesia's village health statistics.
        Int J Health Geogr. 2008; 7: 30