Abstract
BACKGROUND: Many objective health outcome measures are used to monitor patients or evaluate health interventions, but there are also subjective measures. For the latter, it is difficult to derive metric data, which are needed to quantify health outcomes such as functional disability, severity of side effects, and health status. OBJECTIVE: Thurstone's Law of Comparative Judgment is presented as an alternative means to derive metric values for subjective health outcomes. The appeal of Thurstone's scaling model is that it can transform subjective individual rank order data or comparative preference data to a single group composite interval scale. To demonstrate its contribution, an empirical study was conducted, focusing on the valuation of health states. RESEARCH DESIGN: Rank order data were collected for 18 health states and were then used as input for Thurstone scaling. Visual analogue scale (VAS) values were also collected for the same states. SUBJECTS: An agency for market research recruited 212 Dutch respondents aged 18-75 years. RESULTS: The derived Thurstone values showed a strong relationship with the VAS values. The positions of the 2 worst states were almost identical on the VAS and the Thurstone scale. Intermediate states were scaled somewhat differently by the 2 methods. CONCLUSIONS: For many subjective health outcomes, Thurstone scaling and its derivatives may be an attractive methodology to arrive at quantitative measures.
