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Cost-effectiveness analysis (CEA) is a form of economic analysis that compares the relative costs and outcomes (effects) of different courses of action. Cost-effectiveness analysis is distinct from cost–benefit analysis , which assigns a monetary value to the measure of effect. [ 1 ]
Cost–benefit analysis (CBA), sometimes also called benefit–cost analysis, is a systematic approach to estimating the strengths and weaknesses of alternatives.It is used to determine options which provide the best approach to achieving benefits while preserving savings in, for example, transactions, activities, and functional business requirements. [1]
Distributional cost-effectiveness analysis (DCEA) is an extension of cost-effectiveness analysis (CEA) that incorporates concern for both the average levels of outcomes as well as the distribution of outcomes.
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Comparative effectiveness research adopts many of the same approaches and methodologies as cost-effectiveness analysis, including the use of incremental cost-effectiveness ratios (ICERs) and quality-adjusted life years (QALYs). An important component of CER is the concept of pragmatic randomised controlled trials. [4]
The incremental cost-effectiveness ratio (ICER) is a statistic used in cost-effectiveness analysis to summarise the cost-effectiveness of a health care intervention. It is defined by the difference in cost between two possible interventions, divided by the difference in their effect.
Prior to WHO-CHOICE, most projects that did cost-effectiveness analysis (CEA) in the real world focused on evaluating a single program or intervention, comparing it against either a fixed price threshold or an existing array of interventions with predetermined cost-effectiveness taken from the literature.
Pharmacoeconomics centers on the economic evaluation of pharmaceuticals, and can use cost-minimization analysis, cost-benefit analysis, cost-effectiveness analysis or cost-utility analysis. Quality-adjusted life years have become the dominant outcome of interest in pharmacoeconomic evaluations, and many studies employ a cost-per-QALY analysis.
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