Answers are grounded in this paper and cite their sources.
Evidence-based medicine provides the highest quality of information for medical practitioners. At the top of the pyramid of evidence-based medicine are the prospective, randomized clinical trials and meta-analysis. Evidence-based medicine can be incorporated with quality-of-life parameters; the latter can be quantified using utility theory. With utility theory, utility values range from 0.0 (death state) to 1.0 (perfect health state). The higher the utility value, the better a person's quality of life. Interventional treatment can change the utility level experienced by a patient. A change in utility value induced by an interventional treatment can be amalgamated with the duration of the treatment effect to provide the number of quality-adjusted life-years (QALYs) gained by a specific treatment (QALYs = [gain in utility value] x [duration of treatment effect]). Thus, this formula takes into account both the improvement in quality of life and the improvement in length of life gained by a treatment. The number of QALYs gained by a treatment can then be incorporated with medical costs (discounted for the time value of money) to arrive at a final common denominator of $/QALY (cost per QALY). The parameter $/QALY can be used to compare the cost-effectiveness of interventional treatments across diverse specialties in medicine. In essence, this methodology allows a measure of the cost-effectiveness of a treatment that incorporates the highest quality of scientific information, clinical efficacy, patient quality-of-life preferences, and realistic costs.
No takes yet. Share an insight, caveat, or question.
Brown et al. (1999) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: