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- W3136238076 abstract "Decision making in health care involves uncertainty regarding the costs, effects and cost-effectiveness of alternative technologies. As a result there are two decisions for health care policy makers to address. The first involves the choice between alternative technologies regarding which to reimburse, the second concerns whether to fund additional research to reduce uncertainty surrounding the reimbursement decision. As such, uncertainty is important for policy makers. However, a question remains about what is/are the appropriate means to present information about uncertainty to policy makers. Within this paper we examine a variety of methods that have been proposed for summarising and presenting uncertainty to policy makers and compare them in terms of their ability to aid policy makers address decisions regarding reimbursement and the acquisition of additional evidence through further research. This assessment and comparison is done through the use of two simple, stylised, hypothetical examples of healthcare decision problems - one involving a choice between two and the other involving a choice between multiple alternative technologies. The paper concludes that presenting information on costs and effects via cost-effectiveness planes and presenting intervals and/or probability distributions for incremental or average net benefits do not provide policy makers with useful information regarding decision uncertainty. In contrast, cost-effectiveness acceptability curves and the cost-effectiveness acceptability frontier provide policy makers with information about the probability of making an error, thus providing a direct link with measures of value of information used to inform decisions regarding further research." @default.
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- W3136238076 date "2007-06-22" @default.
- W3136238076 modified "2023-09-26" @default.
- W3136238076 title "The Irrelevance of the Error Probability? Summary Measures of Decision Uncertainty" @default.
- W3136238076 hasPublicationYear "2007" @default.
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