title: Computer adaptive testing: a strategy for monitoring stroke rehabilitation across settings.
abstract: Current functional assessment instruments in stroke rehabilitation are often setting-specific and lack precision, breadth, and/or feasibility. Computer adaptive testing (CAT) offers a promising potential solution by providing a quick, yet precise, measure of function that can be used across a broad range of patient abilities and in multiple settings. CAT technology yields a precise score by selecting very few relevant items from a large and diverse item pool based on each individual's responses. We demonstrate the potential usefulness of a CAT assessment model with a cross-sectional sample of persons with stroke from multiple rehabilitation settings.
authors.affiliation: Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, Massachusetts, USA.
authors.forename: Patricia L
authors.initials: PL
authors.lastname: Andres
authors.forename: Randie M
authors.initials: RM
authors.lastname: Black-Schaffer
authors.forename: Pengsheng
authors.initials: P
authors.lastname: Ni
authors.forename: Stephen M
authors.initials: SM
authors.lastname: Haley
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003198:Computer Simulation; D006233:Persons with Disabilities / Q000145:classification*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000379:methods; D012720:Severity of Illness Index; D000071939:Stroke Rehabilitation; D013647:Task Performance and Analysis; D014584:User-Computer Interface