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- W2913884003 abstract "Decisions about which technologies to reimburse within a health care system can be informed by a large and complex body of evidence. The benefits of decision-analytic models to formally evaluate the cost-effectiveness of health care technologies has been recognised in many health care systems. Those institutions with the remit to make reimbursement decisions often do so based on a formal assessment of expected cost-effectiveness. However, although quantitative assessment of cost-effectiveness has gained use in the policy making environment, the associated quantitative assessment of decision uncertainty and its consequences is less developed. It is unclear if in practice any assessment of decision uncertainty contributes to reimbursement decisions or decisions to acquire additional evidence through further research, or decisions to delay reimbursement until further evidence becomes available. The three papers in this session contribute in different ways to a common theme: that decisions about which technologies to reimburse should not be separated from some formal assessment of decision uncertainty and the potential to better inform this decision with further research, allowing for the value and costs of research including the cost of reversing a decision, opportunity costs associated with, delaying a decision, and opportunity costs of adopting when faced with as inability to commission further research." @default.
- W2913884003 created "2019-02-21" @default.
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- W2913884003 date "2007-06-22" @default.
- W2913884003 modified "2023-09-25" @default.
- W2913884003 title "A Sure Thing? The Importance of Decision Uncertainty" @default.
- W2913884003 hasPublicationYear "2007" @default.
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