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extended · article · 2013

A Generalized Measurement Model to Quantify Health: The Multi-Attribute Preference Response Model

Paul F. M. Krabbe; David Andrich

After 40 years of deriving metric values for health status or health-related quality of life, the effective quantification of subjective health outcomes is still a challenge. Here, two of the best measurement tools, the discrete choice and the Rasch model, are combined to create a new model for deriving health values. First, existing techniques to value health states are briefly discussed followed by a reflection on the recent revival of interest in patients' experience with regard to their possible role in health measurement. Subsequently, three basic principles for valid health measurement are reviewed, namely unidimensionality, interval level, and invariance. In the main section, the basic operation of measurement is then discussed in the framework of probabilistic discrete choice analysis (random utility model) and the psychometric Rasch model. It is then shown how combining the main...

CATHealth OutcomesMedicine
APA citation

Paul F. M. Krabbe & David Andrich (2013). A Generalized Measurement Model to Quantify Health: The Multi-Attribute Preference Response Model. PLoS ONE, 8(11), e79494-e79494. https://doi.org/10.1371/journal.pone.0079494