A statistical decision model is applied to the benefit evaluation of screening projects to derive an expression which provides upper and lower limits for average benefits in terms of prevalance rates of PurposeThe purpose of this paper is to propose an analytical method for evaluating screening projects. As noted elsewhere1, mass screening has become an increasingly common practice in the health care system, at substantial cost to the public, and evaluation of the benefits of such programs is of vital importance for health planners and administrators. This paper is based on the senior author's experience with a validation study for the screening of pre-school children for possible physical and/or psycho-social disabilities which may hinder educational performance. Like any other health service program, it was very difficult to demonstrate the benefits as compared with the cost of this screening project, and this motivated us to try to develop a quantitative model for such evaluation. Essentially, the method estimates the value of information obtainable from a screening project, in terms of input cost, by an application of statistical decision theory.For any such evaluation, it is important to estimate the monetary value of the benefits resulting. However, it is difficult, and sometimes impossible, to place monetary values on Assumptions
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