W Ben Mortenson1, Louise Demers2, Paula W Rushton3, Claudine Auger4, Francois Routhier5, William C Miller6. 1. Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia Faculty of Medicine and Vancouver Coastal Health Research Institute, Vancouver, BC, Canada; Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada. Electronic address: ben.mortenson@ubc.ca. 2. School of Rehabilitation, Université de Montréal, Montreal, QC, Canada; Research Center of the Institut universitaire de gériatrie de Montréal, School of Rehabilitation, Université de Montréal, Montreal, QC, Canada. 3. School of Rehabilitation, Université de Montréal, Montreal, QC, Canada; Marie Enfant Rehabilitation Center, Sainte-Justine University Hospital Research Center, Montréal, PQ, Canada. 4. School of Rehabilitation, Université de Montréal, Montreal, QC, Canada; Center for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montréal, PQ, Canada. 5. Department of Rehabilitation, Laval University, Quebec City, PQ, Canada; Center for Interdisciplinary Research in Rehabilitation and Social Integration, Quebec City Rehabilitation Institute, Quebec City, PQ, Canada. 6. Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia Faculty of Medicine and Vancouver Coastal Health Research Institute, Vancouver, BC, Canada; Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.
Abstract
OBJECTIVE: To evaluate the relation among the measures in a power wheelchair outcomes toolkit. DESIGN: We performed path analysis of cross-sectional data from self-report questionnaires and 1 objective measure. SETTING: Six sites. PARTICIPANTS: A convenience sample of power wheelchair users (N=128). Most (n=69; 53.9%) participants were women. Multiple sclerosis and spinal cord injury/disease were the most common diagnoses. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The power wheelchair version of the Wheelchair Skills Test version 4.1 was used to carry out an objective evaluation of capacity to perform 32 wheelchair skills. The Late-Life Disability Index measured frequency of participation in 16 life activities. The Life-Space Assessment measured independence, extent, and frequency of mobility. The Assistive Technology Outcomes Profile for Mobility was used to assess perceived difficulty performing activity and participation using assistive technology. The Wheelchair Use Confidence Scale for powered wheelchair users captured users' self-efficacy with wheelchair use. RESULTS: Wheelchair confidence was independently associated with less difficulty with activity (β=.028, P=.002) and participation (β=.225, P<.001), increased life space (β=.095, P<.003), and greater wheelchair skills (β=.30, P<.001). Less perceived difficulty with activity was independently associated with increased frequency of participation (β=.55, P<.001). Life-space mobility was independently associated with increased frequency of participation (β=.167, P<.001). Less difficulty with participation was independently associated with greater life-space mobility (β=.59, P<.001) and greater frequency of participation (β=.13, P<.001). CONCLUSIONS: This study provides empirical support for the measures included as part of the power wheelchair outcomes toolkit. They appear to provide complementary information on a variety of constructs related to power wheelchair use.
OBJECTIVE: To evaluate the relation among the measures in a power wheelchair outcomes toolkit. DESIGN: We performed path analysis of cross-sectional data from self-report questionnaires and 1 objective measure. SETTING: Six sites. PARTICIPANTS: A convenience sample of power wheelchair users (N=128). Most (n=69; 53.9%) participants were women. Multiple sclerosis and spinal cord injury/disease were the most common diagnoses. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The power wheelchair version of the Wheelchair Skills Test version 4.1 was used to carry out an objective evaluation of capacity to perform 32 wheelchair skills. The Late-Life Disability Index measured frequency of participation in 16 life activities. The Life-Space Assessment measured independence, extent, and frequency of mobility. The Assistive Technology Outcomes Profile for Mobility was used to assess perceived difficulty performing activity and participation using assistive technology. The Wheelchair Use Confidence Scale for powered wheelchair users captured users' self-efficacy with wheelchair use. RESULTS: Wheelchair confidence was independently associated with less difficulty with activity (β=.028, P=.002) and participation (β=.225, P<.001), increased life space (β=.095, P<.003), and greater wheelchair skills (β=.30, P<.001). Less perceived difficulty with activity was independently associated with increased frequency of participation (β=.55, P<.001). Life-space mobility was independently associated with increased frequency of participation (β=.167, P<.001). Less difficulty with participation was independently associated with greater life-space mobility (β=.59, P<.001) and greater frequency of participation (β=.13, P<.001). CONCLUSIONS: This study provides empirical support for the measures included as part of the power wheelchair outcomes toolkit. They appear to provide complementary information on a variety of constructs related to power wheelchair use.
Authors: Brodie M Sakakibara; William C Miller; Janice J Eng; Catherine L Backman; François Routhier Journal: Arch Phys Med Rehabil Date: 2012-09-27 Impact factor: 3.966
Authors: Brodie M Sakakibara; William C Miller; Melanie Souza; Viara Nikolova; Krista L Best Journal: Arch Phys Med Rehabil Date: 2013-02-04 Impact factor: 3.966