Quantitative decision techniques for the health/public sector policy-maker: an analysis and classification of...

Policy problems in the health and public sectors are quickly assuming a new level of complexity. Thus, the health/public sector analyst is being confronted with the task of identifying, formulating, evaluating, and making choices among larger and more complicated sets of decision alternatives. Given the context of such decisions, less-than-effective choices could adversely affect the health and social well-being of whole sections of a population. What seems to be needed, therefore, is an approach that would provide system and objectivity to the policy-making process. The use of quantitative techniques, so long applied to problems in the private and industrial sectors, would be the mainstay of such an approach. It is the goal of this article, therefore, to identify, classify, and briefly describe elements of the emerging set of materials (texts, edited readings, and monographs) which offer discussions of these techniques as they apply to problems in the health and public sectors. It is hoped that such a presentation will hasten the application of available analytic decision tools to the policy/decision problems of the public sector.