Development of a Computer-Adaptive Physical Function Instrument for Social Security Administration Disability Determination Pengsheng Ni, MD, MPH, Christine M. McDonough, PT, PhD, Alan M. Jette, PT, PhD, Kara Bogusz, BA, Elizabeth E. Marfeo, PhD, MPH, Elizabeth K. Rasch, PT, PhD, Diane E. Brandt, PT, MA, PhD, Mark Meterko, PhD, Stephen M. Haley, PT, PhD, Leighton Chan, MD, MPH Archives of Physical Medicine and Rehabilitation Volume 94, Issue 9, Pages 1661-1669 (September 2013) DOI: 10.1016/j.apmr.2013.03.021 Copyright © 2013 American Congress of Rehabilitation Medicine Terms and Conditions
Fig 1 Distribution of physical function items/categories by content subdomain. Archives of Physical Medicine and Rehabilitation 2013 94, 1661-1669DOI: (10.1016/j.apmr.2013.03.021) Copyright © 2013 American Congress of Rehabilitation Medicine Terms and Conditions
Fig 2 (A–E) Distribution of physical function person scores and reliability of 5-item, 10-item, and full item bank by subdomain for SSA claimant (n=1017) and normative (n=999) samples. (A) Changing & Maintaining Body Position. (B) Whole Body Mobility. (C) Upper Body Function. (D) Upper Extremity Fine Motor. (E) Wheelchair Mobility. NOTE. Claimant distribution is shown in medium gray, and normative distribution is shown in light gray. Archives of Physical Medicine and Rehabilitation 2013 94, 1661-1669DOI: (10.1016/j.apmr.2013.03.021) Copyright © 2013 American Congress of Rehabilitation Medicine Terms and Conditions
Fig 3 Claimant functional profiles compared with age- and sex-specific normative scores. (A) Profile of a claimant with an arm amputation. (B) Profile of a claimant with chronic low back pain. Archives of Physical Medicine and Rehabilitation 2013 94, 1661-1669DOI: (10.1016/j.apmr.2013.03.021) Copyright © 2013 American Congress of Rehabilitation Medicine Terms and Conditions