Abstract
Incremental cost effectiveness ratios (ICERs) using quality adjusted life years (QALYs) are the main measure of cost-effectiveness used in decision making by health technology assessments (HTAs). However, there could be misinterpretation of these measures when used by non-health economists (e.g. clinicians and policy makers). Other health economic outcomes, such as number needed to treat (NNT) and cost of preventing an event (COPE) could provide a practical interpretation of the clinical and financial effectiveness of treatments for specific stakeholders. This study investigated how the use of NNT and COPE can support decision making.
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