Literature DB >> 23578594

Development of a computer-adaptive physical function instrument for Social Security Administration disability determination.

Pengsheng Ni1, Christine M McDonough, Alan M Jette, Kara Bogusz, Elizabeth E Marfeo, Elizabeth K Rasch, Diane E Brandt, Mark Meterko, Stephen M Haley, Leighton Chan.   

Abstract

OBJECTIVES: To develop and test an instrument to assess physical function for Social Security Administration (SSA) disability programs, the SSA-Physical Function (SSA-PF) instrument. Item response theory (IRT) analyses were used to (1) create a calibrated item bank for each of the factors identified in prior factor analyses, (2) assess the fit of the items within each scale, (3) develop separate computer-adaptive testing (CAT) instruments for each scale, and (4) conduct initial psychometric testing.
DESIGN: Cross-sectional data collection; IRT analyses; CAT simulation.
SETTING: Telephone and Internet survey. PARTICIPANTS: Two samples: SSA claimants (n=1017) and adults from the U.S. general population (n=999).
INTERVENTIONS: None. MAIN OUTCOME MEASURES: Model fit statistics, correlation, and reliability coefficients.
RESULTS: IRT analyses resulted in 5 unidimensional SSA-PF scales: Changing & Maintaining Body Position, Whole Body Mobility, Upper Body Function, Upper Extremity Fine Motor, and Wheelchair Mobility for a total of 102 items. High CAT accuracy was demonstrated by strong correlations between simulated CAT scores and those from the full item banks. On comparing the simulated CATs with the full item banks, very little loss of reliability or precision was noted, except at the lower and upper ranges of each scale. No difference in response patterns by age or sex was noted. The distributions of claimant scores were shifted to the lower end of each scale compared with those of a sample of U.S. adults.
CONCLUSIONS: The SSA-PF instrument contributes important new methodology for measuring the physical function of adults applying to the SSA disability programs. Initial evaluation revealed that the SSA-PF instrument achieved considerable breadth of coverage in each content domain and demonstrated noteworthy psychometric properties.
Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CAT; DIF; Disability evaluation; Disabled persons; Health Status Indicators; IRT; Insurance; PROMIS; Patient-Reported Outcomes Measurement Information System; Psychometrics; Questionnaires; Rehabilitation; SSA; SSA-PF; Social Security Administration; Social Security Administration Physical Function; Statistical model; computer-adaptive testing; differential item functioning; item response theory

Mesh:

Year:  2013        PMID: 23578594      PMCID: PMC4017369          DOI: 10.1016/j.apmr.2013.03.021

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


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