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With its basis in the development of intelligence testing, classical test theory paved the way to develop patient-reported outcome measures - tools capable of quantifying otherwise immeasurable traits. In hand surgery, many of the popular outcome measures were developed using classical test theory. However, these techniques are increasingly being superseded by novel mathematical approaches. This review article will chart the progress from established scientific methods through to modern day item response theory and computerized adaptive testing, and explore the opportunities that artificial intelligence may afford.Level of evidence: V.

Original publication

DOI

10.1177/17531934251327291

Type

Journal article

Journal

J hand surg eur vol

Publication Date

27/03/2025

Keywords

Artificial intelligence, EMCAT, assessment, computerized adaptive testing, ecological momentary assessment, monitoring, patient reported outcome measures, patient-reported outcome measures, symptom monitoring