Literature DB >> 18295627

Characterization of power wheelchair use in the home and community.

Sharon E Sonenblum1, Stephen Sprigle, Frances H Harris, Christine L Maurer.   

Abstract

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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Year:  2008        PMID: 18295627     DOI: 10.1016/j.apmr.2007.09.029

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  16 in total

1.  Use of power assist wheels results in increased distance traveled compared with conventional manual wheeling.

Authors:  Charles E Levy; Matthew P Buman; John W Chow; Mark D Tillman; Kimberly A Fournier; Peter Giacobbi
Journal:  Am J Phys Med Rehabil       Date:  2010-08       Impact factor: 2.159

2.  Measurement of self-propulsion distance of wheelchair using cycle computer excluding assistance distance by touch switch: A pilot study.

Authors:  Shunsuke Ohji; Yosuke Kimura; Yuhei Otobe; Naohito Nishio; Daisuke Ito; Ryota Taguchi; Hideyuki Ogawa; Minoru Yamada
Journal:  J Spinal Cord Med       Date:  2019-04-11       Impact factor: 1.985

3.  A novel mobile-cloud system for capturing and analyzing wheelchair maneuvering data: A pilot study.

Authors:  Jicheng Fu; Maria Jones; Tao Liu; Wei Hao; Yuqing Yan; Gang Qian; Yih-Kuen Jan
Journal:  Assist Technol       Date:  2016

4.  Wheeled-mobility correlates of life-space and social participation in adult manual wheelchair users aged 50 and older.

Authors:  Brodie M Sakakibara; François Routhier; William C Miller
Journal:  Disabil Rehabil Assist Technol       Date:  2016-07-04

Review 5.  Automatic Detection and Classification of Unsafe Events During Power Wheelchair Use.

Authors:  Joelle Pineau; Athena K Moghaddam; Hiu Kim Yuen; Philippe S Archambault; François Routhier; François Michaud; Patrick Boissy
Journal:  IEEE J Transl Eng Health Med       Date:  2014-10-30       Impact factor: 3.316

Review 6.  How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.

Authors:  David J Reinkensmeyer; Sarah Blackstone; Cathy Bodine; John Brabyn; David Brienza; Kevin Caves; Frank DeRuyter; Edmund Durfee; Stefania Fatone; Geoff Fernie; Steven Gard; Patricia Karg; Todd A Kuiken; Gerald F Harris; Mike Jones; Yue Li; Jordana Maisel; Michael McCue; Michelle A Meade; Helena Mitchell; Tracy L Mitzner; James L Patton; Philip S Requejo; James H Rimmer; Wendy A Rogers; W Zev Rymer; Jon A Sanford; Lawrence Schneider; Levin Sliker; Stephen Sprigle; Aaron Steinfeld; Edward Steinfeld; Gregg Vanderheiden; Carolee Winstein; Li-Qun Zhang; Thomas Corfman
Journal:  J Neuroeng Rehabil       Date:  2017-11-06       Impact factor: 4.262

7.  Characterization of wheelchair maneuvers based on noisy inertial sensor data: a preliminary study.

Authors:  Jicheng Fu; Tao Liu; Maria Jones; Gang Qian; Yih-Kuen Jan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

8.  Joystick-controlled video console game practice for developing power wheelchairs users' indoor driving skills.

Authors:  Wei Pin Huang; Chia Cheng Wang; Jo Hua Hung; Kai Chun Chien; Wen-Yu Liu; Chih-Hsiu Cheng; How-Hing Ng; Yang-Hua Lin
Journal:  J Phys Ther Sci       Date:  2015-02-17

9.  Manual wheelchair use: bouts of mobility in everyday life.

Authors:  Sharon Eve Sonenblum; Stephen Sprigle; Ricardo A Lopez
Journal:  Rehabil Res Pract       Date:  2012-07-15

10.  Reviewing the literature on the effectiveness of pressure relieving movements.

Authors:  Rachel Schofield; Alison Porter-Armstrong; May Stinson
Journal:  Nurs Res Pract       Date:  2013-01-13
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