Abstract #301610

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JSM 2003 Abstract #301610
Activity Number: 167
Type: Contributed
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Health Policy Statistics
Abstract - #301610
Title: Item Response Theory and Adaptive Stroke Outcome Assessment
Author(s): Thomas E. Love*+
Companies: Case Western Reserve University
Address: Center for Health Care Research and Policy, Cleveland, OH, 44109-1998,
Keywords: psychometrics ; stroke ; item response theory ; computerized adaptive testing ; outcomes research ; observational studies
Abstract:

No single generic or stroke-specific health status measure efficiently covers the range of problems in functioning and well-being experienced by stroke survivors. Item response theory modeling permits effective and sample-independent calibration across scales, and development of adaptive algorithms for computer-assisted multidomain assessment. Given IRT results and computer-assisted administration, efficient tailored scales can measure multiple domains of stroke outcomes for clinical trials and observational studies. Such metrics might be appropriate for research use in baseline adjustments (for instance, stratification) or as outcomes of their own, or both. We focus on some issues related to building a sufficiently large database of stroke outcome items and responses to allow for the investigation of critical properties of item response theory models.

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