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Cost-effectiveness Analyses of Statistically Ineffective Treatments
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To the Editor.Although the publication of guidelines1 has provided an important contribution to standardizing cost-effectiveness (CE) research, some methodological points still need clarification. In comparing treatment A (innovative treatment) with treatment B (reference treatment), a CE analysis is appropriate when A is more effective, ie, when the difference in clinical effectiveness between A and B is significant.
When the difference in clinical effectiveness is expressed in terms of a significant difference in survival, the CE analysis can be undertaken without difficulty. But when the difference is expressed as the difference between quality-adjusted life-years (QALYs) per patient treated with A minus QALYs per patient treated with B, the problem arises of whether a significant P value continues to be needed for conducting a CE analysis.
When available, primary data of quality-adjusted survival (ie, information on survival length and health-related quality of life collected from individual patients) do not pose any . . . [Full Text of this Article]
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