Abstract
Objective
Design
Setting
Participants
Interventions
Main Outcome Measures
Results
Conclusions
Keywords
List of abbreviations:
ATP (Assistive Technology Professional), CI (confidence interval), CMS (Centers for Medicare and Medicaid Services), FMA (Functional Mobility Assessment), MAE (mobility assistive equipment), MWC (manual wheelchair), OR (odds ratio), PWC (power wheelchair), RESNA (Rehabilitation Engineering and Assistive Technology Society of North America), UDS (Uniform Data Set)Purchase one-time access:
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Article info
Publication history
Footnotes
Supported by a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR, grant no. 90DPGE0014-01-00). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). The contents of this publication do not necessarily represent the policy of NIDILRR, ACL, or HHS, and you should not assume endorsement by the Federal Government. In addition, the data analyzed was from a Corporate Research Agreement (award no. SRA00000765) between the University of Pittsburgh and Van G. Miller (VGM) & Associates.
Disclosures: The authors alone are responsible for the content and writing of this article. Mark R. Schmeler receives a royalty for the license of the Functional Mobility Assessment (FMA) through the University of Pittsburgh Office of Innovation. The other authors have nothing to disclose.