Methods of cost-effectiveness analysis: areas of consensus and debate

Clin Ther. 1995 Jan-Feb;17(1):109-25. doi: 10.1016/0149-2918(95)80012-3.

Abstract

Methods of evaluating socioeconomic relationships have evolved over many years, and a number of specific approaches have been developed. Among the techniques available, cost-effectiveness analysis (CEA) has emerged as the most widely used and accepted method. Yet, despite considerable effort by the analytical community to refine this technique into one more useful for making health policy decisions, much debate and confusion still persist among analysts, readers, and policy-makers concerning methods standards and the overall usefulness of CEA in resource allocation decision making. Thus the purpose of this paper is to summarize, critically examine, and comment on existing recommended methods for socioeconomic evaluation of health care interventions. In particular, we examine an exhaustive set of component methods within the general area of cost-effectiveness and comment on areas of apparent consensus and debate. Our review reveals many areas of agreement and many yet to be resolved. Analysts generally agree on the components of the overall framework for an analysis; basic methodologic principles; the general treatment of costs; the principle of marginal analysis; the need for and general approach to discounting; the use of sensitivity analysis; the extent to which ethical issues can be incorporated; and the importance of choosing appropriate alternatives for comparison. The principal areas in which disagreement still persists are choice of study design, measurement and valuation of health outcomes including conversion of health outcomes to economic values, transformation of efficacy results into effectiveness outcomes, and the empirical measurement of costs.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Cost-Benefit Analysis / economics
  • Cost-Benefit Analysis / methods*
  • Delivery of Health Care / economics*
  • Humans
  • Quality of Life