Abstract
The effects of chronic kidney disease have been difficult to quantify using traditional measures of mortality and biological processes. New approaches to the quantification of outcomes in kidney disease are required. A wide variety of methods have become available and are now in use in some studies. Psychometric approaches, such as the Sickness Impact Profile and the Kidney Disease Questionnaire, have been shown to be responsive to change in some clinical studies. In order to estimate the cost-effectiveness of investments in kidney disease, decision theory approaches are required. We argue that these decision theory approaches should be given serious consideration for inclusion in clinical trials and in the US Renal Data System.
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