Objective: To characterize the use of power wheelchairs and to determine if multiple measures of mobility and occupancy jointly provide a more comprehensive picture of wheelchair usage and daily activity in full-time power wheelchair users than daily distance alone.
Design: Prospective observational study.
Setting: Subjects' everyday mobility was measured in their homes and communities for 2 weeks, and prompted recall interviews were conducted by phone.
Participants: A convenience sample (N=25) of nonambulatory, full-time power wheelchair users.
Interventions: Not applicable.
Main Outcome Measures: Wheelchair usage was logged electronically, and geolocation and interview data were used to isolate chair use to (1) in the home, (2) not in the home indoors, or (3) outdoors. Distance wheeled, time spent wheeling, number of bouts, time spent in the wheelchair, and the percentage of time in the wheelchair spent wheeling were measured to describe wheelchair use.
Results: The median wheelchair user spent 10.6 hours (range, 5.0-16.6h) in his/her wheelchair daily and wheeled 1.085 km (range, 0.238-10.585 km) over 58 minutes (range, 16-173 min) and 110 bouts (range, 36-282 bouts). Wheelchair use varied across subjects, within subjects from day to day, and between environments. Mobility bouts outdoors were longer and faster than those wheeled indoors. In a regression analysis, distance wheeled explained only 33% of the variation in the number of bouts and 75% in the time spent wheeling.
Conclusions: Power wheelchair use varies widely both within and between users. Measuring distance, time, and number of bouts provides a clearer picture of mobility patterns than measuring distance alone, whereas occupancy helps to measure wheelchair function in daily activities.
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http://dx.doi.org/10.1016/j.apmr.2007.09.029 | DOI Listing |
Pediatr Phys Ther
January 2025
Parent of a child with CP, GMCS IV who explored power mobility from age 12 months and is now an independent power wheelchair user.
Assist Technol
December 2024
School of Occupational Therapy, Faculty of Health, Dalhousie University, Nova Scotia, Canada.
This study translated and culturally adapted the Wheelchair Use Confidence Scale for Manual Wheelchair Users (WheelCon-M) and the Wheelchair Use Confidence Scale for Power Wheelchair Users (WheelCon-P) into Arabic and examined their reliability and validity. Internal consistency and test-retest reliability were examined, and concurrent validity was evaluated using Pearson correlation coefficients with the Arabic versions of the Functioning Everyday with a Wheelchair (FEW) and the Functional Mobility Assessment (FMA). The Arabic translated versions of the WheelCon-M (WheelCon-M-A) and the WheelCon-P (WheelCon-P-A) were administered to 33 adult wheelchair users.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Human Engineering Research Laboratories, Department of VA Pittsburgh Healthcare System, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA 15206, USA.
: Caregivers experience high rates of occupational injuries, especially during wheelchair transfers, which often result in back pain and musculoskeletal disorders due to the physical demands of lifting and repositioning. While mechanical floor lifts, the current standard, reduce back strain, they are time-consuming and require handling techniques that subject caregivers to prolonged and repeated non-neutral trunk postures, increasing the risk of long-term back injuries. : The aim was to assess the time efficiency and ergonomics of the powered personal transfer system (PPTS), a robotic transfer device designed for bed-to/from-wheelchair transfers.
View Article and Find Full Text PDFEur Burn J
September 2024
Department of Plastic and Reconstructive Surgery, The Royal Brisbane and Women's Hospital, Brisbane 4029, Australia.
Cogn Neurodyn
October 2024
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou,, 350108 Fujian China.
Currently, electroencephalogram (EEG)-based motor imagery (MI) signals have been received extensive attention, which can assist disabled subjects to control wheelchair, automatic driving and other activities. However, EEG signals are easily affected by some factors, such as muscle movements, wireless devices, power line, etc., resulting in the low signal-to-noise ratios and the worse recognition results on EEG decoding.
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