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Connecting Contemporary Paradigms to the Social Security Administration's Disability Evaluation Process.

Diane E Brandt1, Andrew J Houtenville2, Minh T Huynh1

  • 1National Institutes of Health Clinical Research Center, Bethesda, MD, USA.

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This summary is machine-generated.

The Social Security Administration

Keywords:
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Area of Science:

  • Social Sciences
  • Public Health
  • Health Policy

Background:

  • The Social Security Administration's (SSA) Disability Insurance (DI) program experienced a significant increase in applications between 1998 and 2009.
  • This surge in applications necessitates improvements in processing efficiency, cost reduction, and overall program performance.
  • Current conceptual models of disability and the SSA's evaluation process for adults exhibit a notable disconnect.

Purpose of the Study:

  • To review current conceptual models of disability and the SSA's adult disability evaluation process.
  • To identify gaps between contemporary disability models and the SSA's operational definitions.
  • To explore potential improvements in SSA's disability assessment methodologies.

Main Methods:

  • Conducted a literature review focusing on conceptual models of disability.
  • Examined the SSA's disability evaluation process for adults.
  • Analyzed challenges related to applicant functional information and workplace demands.

Main Results:

  • A significant gap exists between modern disability concepts and the SSA's definition and operationalization of disability.
  • Variability in the timing, quantity, and quality of applicant functional data complicates assessments.
  • The current focus on impairment overlooks comprehensive functional assessments needed for work capacity evaluation.

Conclusions:

  • Revising the SSA's approach to disability assessment is crucial for improving program efficiency and effectiveness.
  • Addressing the gap between conceptual models and operational definitions is essential.
  • Novel assessment methods, like computer adaptive testing, show promise for enhancing SSA's data collection and disability assessment.