Development of a Computer-Adaptive Physical Function Instrument for Social Security Administration Disability Determination.
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...
| Published in: | Archives of Physical Medicine & Rehabilitation Vol. 94; no. 9; pp. 1661 - 1670 |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
W B Saunders
Sep2013
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104216414&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104216414 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039993 1XL jtl: Archives of Physical Medicine & Rehabilitation issn: 00039993 maglogo: N pubinfo: dt: Sep2013 vid: 94 iid: 9 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 104216414 89976871 10.1016/j.apmr.2013.03.021 NLM23578594 104216414 ppf: 1661 ppct: 9 formats: tig: atl: Development of a Computer-Adaptive Physical Function Instrument for Social Security Administration Disability Determination. aug: au: Ni, Pengsheng McDonough, Christine M. Jette, Alan M. Bogusz, Kara Marfeo, Elizabeth E. Rasch, Elizabeth K. Brandt, Diane E. Meterko, Mark Haley, Stephen M. Chan, Leighton affil: Department of Health Policy and Management, The Health and Disability Research Institute, School of Public Health, Boston University Medical Campus, Boston, MA sug: subj: Disability Evaluation Methods Instrument Construction Computerized Adaptive Testing Instrument Validation Clinical Assessment Tools Evaluation Insurance, Disability United States Social Security Administration Functional Assessment Methods Psychometrics Health Status Indicators Clinical Assessment Tools Cross Sectional Studies Surveys Validation Studies Questionnaires Human Funding Source ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|