238977 Development of a computer adaptive test to assess physical capabilities for work disability determination

Tuesday, November 1, 2011: 10:48 AM

Christine McDonough, PhD, PT , School of Public Health, Health & Disability Research Institute, Boston University Medical Campus, Boston, MA
Stephen Haley, PhD, PT , School of Public Health, Health & Disability Research Institute, Boston University Medical Campus, Boston, MA
Alan Jette, PhD, PT , School of Public Health, Health & Disability Research Institute, Boston University Medical Campus, Boston, MA
Kara Bogusz, BA , School of Public Health, Health & Disability Research Institute, Boston University Medical Campus, Boston, MA
Elizabeth K. Rasch, PT, PhD , Clinical Research Center, Department of Rehabilitation Medicine, National Institutes of Health, Bethesda, MD
Diane Brandt, PT, MS, PhD , Clinical Research Center, Department of Rehabilitation Medicine, National Institutes of Health, Bethesda, MD
Leighton Chan, MD, MPH , Clinical Research Center, Department of Rehabilitation Medicine, National Institutes of Health, Bethesda, MD
Due to increasing demand on the Social Security Administration (SSA) disability programs, novel assessment methodologies are needed. Through an interagency agreement with the SSA, the National Institutes of Health (NIH) is collaborating with Boston University to apply Item Response Theory (IRT) and Computer Adaptive Testing (CAT) to assess physical capabilities relevant to work. New approaches to comprehensively and systematically assess functioning may improve the precision and efficiency of SSA's disability evaluation process. Project objectives include: 1) assessing the feasibility of CAT within the SSA context; 2) developing a content model for Physical Capabilities sub-domains; and 3) building item pools for physical capabilities relevant to work addressing content in each sub-domain. A comprehensive literature review led to a conceptual framework and content model guiding the structure of the Physical Capabilities domain. Content experts reviewed and revised items in relation to the content map. Where gaps were noted, new items were written. Focus groups were conducted with claimants and clinicians to inform item development. The final item pool consisted of 138 items for SSA claimants and 112 items for claimants' health-care providers. Future work involves administering the item pools to a sample of 1,000 SSA work disability claimants and to a matched sample of 500 primary health care providers. IRT will be used to analyze the responses and to calibrate each item in the item banks. CAT instruments will allow tailored administration of relevant questions about physical capabilities related to work that may enhance the efficiency and accuracy of SSA's disability determinations.

Learning Areas:
Public health or related public policy
Public health or related research

Learning Objectives:
At the conclusion of this session, participants will be able to: (1) recognize the importance of assessing physical capabilities in the context of work disability, (2) describe how IRT and CAT methods could potentially improve SSA’s disability determination process (3) describe the research process for Item Pool development for the Physical Capabilities domain, (4) summarize the research plan for developing the final Physical Capabilities measurement tool.

Keywords: Disability Studies, Assessments

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to be an author of this abstract because I have a PhD in the Evaluative Clinical Sciences; my research is in the area of the measurement of function and disability; and I have extensive clinical experience working with people with chronic musculosculoskeletal disorders and disability.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.