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Interpreting the outcomes of cost utility analyses requires an appropriately defined threshold for costs per quality-adjusted life year (QALY). A common view is that the threshold should represent the (consumption) value a society attaches to a QALY. So far, individual valuations of personal health gains have mainly been studied rather than potentially relevant social values. In this study, we present the first direct empirical estimates of the willingness to pay for a QALY from a societal perspective. We used the contingent valuation approach, valuing QALYs under uncertainty and correcting for probability weighting. The estimates obtained in a representative sample of the Dutch population (n = 1004) range from €52,000 to €83,000, depending on the specification of the societal perspective. The scale sensitivity was weak, however., (Copyright © 2012 John Wiley & Sons, Ltd.)

The aim of this paper is to discuss the use of stochastic league tables approach in cost-effectiveness analysis of diabetes interventions. It addresses the common grounds and differences with other methods of presenting uncertainty to decision-makers. This comparison uses the cost-effectiveness results of medical guidelines for Dutch diabetes type 2 patients in primary and secondary care. Stochastic league tables define the optimum expansion pathway as compared to baseline, starting with the least costly and most cost-effective intervention mix. Multi-intervention cost-effectiveness acceptability curves are used as a way to represent uncertainty information on the cost-effectiveness of single interventions as compared to a single alternative. The stochastic league table for diabetes interventions shows that in case of low budgets treatment of secondary care patients is the most likely optimum choice. Current care options of diabetes complications are shown to be inefficient compared to guidelines treatment. With more resources available one may implement all guidelines and improve efficiency. The stochastic league table approach and multi-intervention cost-effectiveness acceptability curves in uncertainty analysis lead to similar results. In addition, the stochastic league table approach provides policy makers with information on affordability by budget level. It fulfils more adequately the information requirements to choose between interventions, using the efficiency criterion., (Copyright 2004 John Wiley & Sons, Ltd)

In this paper it is argued that the separation of elements associated with the time spent by the patient is not conducted in a consistent way. This is the case for income (for which there at least has been some attention) and for other time elements like lost unpaid work, leisure and role-functioning. The use of general rather than specific preferences in health state assessments makes the separation of time-elements into costs and effects difficult. While costs are calculated specifically for the patient group under study, effects are normally derived from preferences in the general public. The characteristics of these two groups in terms of (the opportunity of) spending time on activities need not coincide. The use of specific time-group valuations of health states may be a good alternative to using general health state valuations., (Copyright 2002 John Wiley & Sons, Ltd.)