Literature DB >> 17436170

Demographic characteristics of veterans who received wheelchairs and scooters from Veterans Health Administration.

Sandra L Hubbard1, Shirley G Fitzgerald, Dean M Reker, Michael L Boninger, Rory A Cooper, Lewis E Kazis.   

Abstract

Little is known about the reasoning process clinicians use when prescribing wheeled mobility equipment (WME) or about the outcomes of this process, i.e., how many devices are prescribed, to whom, how often, and at what cost. This study characterized veterans who received WME from the Veterans Health Administration. We analyzed variance in wheelchair provision based on sex, race/ethnicity, diagnosis, and age. Three years of data from the National Prosthetics Patient Database and the National Patient Care Database were merged, yielding more than 77,000 observations per fiscal year. Logistic regression analysis revealed associations between WME provision and age, sex, and race/ethnicity, when analysis was controlled for diagnosis and number of comorbidities. Hispanics (odds ratio [OR] = 1.864), African Americans (OR = 1.360), and American Indians/Asians (OR = 1.585) were more likely than Caucasians to receive standard wheelchairs. Hispanics (OR = 0.4), African Americans (OR = 0.7), and American Indians/Asians (OR = 0.4) were less likely than Caucasians to receive scooters.

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Mesh:

Year:  2006        PMID: 17436170     DOI: 10.1682/jrrd.2005.11.0174

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  7 in total

1.  Understanding the Provision of Assistive Mobility and Daily Living Devices and Service Delivery to Veterans After Stroke.

Authors:  John A Kairalla; Sandra L Winkler; Hua Feng
Journal:  Am J Occup Ther       Date:  2016 Jan-Feb

2.  Quality and Equity in Wheelchairs Used by Veterans.

Authors:  Larissa Myaskovsky; Shasha Gao; Leslie R M Hausmann; Kellee R Bornemann; Kelly H Burkitt; Galen E Switzer; Michael J Fine; Samuel L Phillips; David Gater; Ann M Spungen; Lynn Worobey; Michael L Boninger
Journal:  Arch Phys Med Rehabil       Date:  2016-10-03       Impact factor: 3.966

3.  Impact of surface type, wheelchair weight, and axle position on wheelchair propulsion by novice older adults.

Authors:  Rachel E Cowan; Mark S Nash; Jennifer L Collinger; Alicia M Koontz; Michael L Boninger
Journal:  Arch Phys Med Rehabil       Date:  2009-07       Impact factor: 3.966

4.  Vulnerable Groups Living with Spinal Cord Injury.

Authors:  Denise C Fyffe; Amanda L Botticello; Larissa Myaskovsky
Journal:  Top Spinal Cord Inj Rehabil       Date:  2011

5.  Demographic profile of older adults using wheeled mobility devices.

Authors:  Amol M Karmarkar; Brad E Dicianno; Rosemarie Cooper; Diane M Collins; Judith T Matthews; Alicia Koontz; Emily E Teodorski; Rory A Cooper
Journal:  J Aging Res       Date:  2011-06-14

6.  Factors predictive of type of powered mobility received by veterans with disability.

Authors:  Meheroz H Rabadi; Andrea S Vincent
Journal:  Med Sci Monit       Date:  2015-05-08

7.  Manual Wheelchair Skills Training for Community-Dwelling Veterans with Spinal Cord Injury: A Randomized Controlled Trial.

Authors:  R Lee Kirby; Doug Mitchell; Sunil Sabharwal; Mark McCranie; Audrey L Nelson
Journal:  PLoS One       Date:  2016-12-21       Impact factor: 3.240

  7 in total

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