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Article
Time for a Paradigm Shift With Computerized Adaptive Testing of General Physical Function Outcomes Measurements
Foot & Ankle International (2013)
  • Man Hung, University of Utah
  • Jeremy D Franklin, University of Utah
  • Shirley D. Hon, University of Utah
  • Christine Cheng, University of Utah
  • Jillian Conrad, University of Utah
  • Charles L. Saltzman, University of Utah
Abstract

Background: Patient-reported outcomes (PRO) are critical to understanding the value of orthopedic treatments. We hypothesized that use of the computerized adaptive testing from a well-characterized physical function item bank would show superiority in assessing all levels of physical function compared to current standard generic physical function outcomes instruments for foot and ankle patients.

Methods: In a population of 126 foot and ankle patients we compared the psychometric properties for three PROs: the Physical Function subscale of the Medical Outcomes General Health Survey (SF-36 PF) version 2, the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) Computerized Adaptive Test (CAT), and the Lower Extremity (LE) CAT. A Rasch item response theory (IRT) model was applied to assess and compare the fit, dimensionality, reliability, validity, and coverage.

Results: The unexplained variance for the PF CAT was 3.9% and the LE CAT was 2.1%, suggesting each instrument explained a single concept. The SF-36 PF had more concerning unexplained variance of 7.6%. We found no floor or ceiling effects for the PF CAT, a minimal floor effect (1.6%) but no ceiling effect for the LE CAT, and an 11.1% floor effect and 9.5% ceiling effect for the SF-36 PF.

Conclusion: Foot and ankle clinicians and researchers interested in measuring patient perceived functional outcomes with a generic instrument should consider using either the PF CAT or the LE CAT rather than the SF-36 PF. Further studies comparing these CATs to anatomic specific instruments are needed.

Level of Evidence: Level I, diagnostic study.

Keywords
  • CAT,
  • Quantitative,
  • Health,
  • Statistics
Publication Date
October 7, 2013
Citation Information
Man Hung, Jeremy D Franklin, Shirley D. Hon, Christine Cheng, et al.. "Time for a Paradigm Shift With Computerized Adaptive Testing of General Physical Function Outcomes Measurements" Foot & Ankle International (2013)
Available at: http://works.bepress.com/jeremyfranklin/4/