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A complete compilation of cost-utility analyses in the peer-reviewed medical and public health literature is available from the Cost-Effectiveness Analysis Registry website. [6] A 1995 study of the cost-effectiveness of reviewed over 500 life-saving interventions found that the median cost-effectiveness was $42,000 per life-year saved. [7]
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]
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.
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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.
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.
Performance-based budgeting is the practice of developing budgets based on the relationship between program funding levels and expected results from that program. The performance-based budgeting process is a tool that program administrators use to manage budget outlays more cost-efficiently and effectively.
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.