Rasch-derived latent trait measurement of outcomes: Insightful use leads to precision case management and evidence-based practices in functional healthcare

Carl V. Granger, Marsha Carlin, John M. Linacre, Ronald Mead, Paulette Niewczyk, A. Jackson Stenner, Luigi Tesio

Research output: Contribution to journalArticlepeer-review

Abstract

The use of Rasch-derived latent trait measurement of outcomes for persons with chronic disease and disablement evolved from other fields, particularly education. Person-metrics is the measurement of how much chronic disease and disablement affects an individual's daily activities physically, cognitively, and through vocational and social role participation. The ability of the Rasch model to assume that the probability of a given person/ item interaction is governed by the difficulty of the item and the ability of the person is invaluable to disability measurement. The difference between raw scores and true measures is illustrated by an example of a patient whose physical difficulty is rated on rising from a wheelchair and walking 100m (known to be more difficult), and then walking an additional 200m. Though number ratings of 0-1-2 are assigned to these tasks, they are not equidistant, and only a true measure shows the actual levels of physical difficulty.

Original languageEnglish
Pages (from-to)230-243
Number of pages14
JournalJournal of Applied Measurement
Volume11
Issue number3
Publication statusPublished - 2010

ASJC Scopus subject areas

  • Applied Mathematics
  • Engineering(all)

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