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Where utility reflects the positive value of a health state to an individual (its desirability) and is expressed as the fraction of perfect health it entails, disutility reflects the complement of this fraction (its undesirability), 1 minus the utility. Thus, if a disability state is assigned a utility of .85, its disutility, relative to good health, is .15. Disutility is mostly used in comparative contexts, where states are compared relative to one another. In these cases, disutility is the difference in the average utility reported by persons with a given problem compared with those without the problem. An example is that of a treatment for menopausal symptoms that is 80% effective. If the utility for the health state “living with menopausal symptoms” is .6, a way to calculate utility with treatment is the following: The disutility of the remaining symptoms will be (1 − Effectiveness of treatment) × Disutility from symptoms = .20 × .40 = .08, and thus, the utility for “living with the remaining menopausal symptoms” will be 1 − .08 = .92.

Expected Utility Theory

The utility of a health state is a cardinal measure of the strength of an individual's preference for particular outcomes when faced with uncertainty, on a scale from 0 to 1, where 0 generally reflects death and 1 reflects perfect health. A distinction is usually made in the decision-making literature between utilities, or strengths of preferences under uncertainty, and values, strengths of preferences under certainty. This concept of utilities dates back to 1944, when John von Neumann and Oskar Morgenstern developed a normative model for decision making under uncertainty—expected utility theory. This model calculates the utility that can be expected from each option in terms of the desirability of its outcomes and the probability with which they will occur. For most decisions in healthcare, outcomes may occur with a certain probability, and the decision problem is thus a problem of choice under uncertainty. Decision analysis is indeed firmly grounded in expected utility theory, and the most common use of utilities is in decision analyses. In decision analyses, the strategy of preference is calculated by combining the utilities of the outcomes with the probabilities that the outcomes will occur.

  • utility
  • utilities
Anne M.Stiggelbout

Further Readings

Franks, P., Hanmer, J., and Fryback, D. G.Relative disutilities of 47 risk factors and conditions assessed with seven preference-based health status measures in a national U.S. sample: Toward consistency in cost-effectiveness analysesMedical Care44 (2006). 478–485http://dx.doi.org/10.1097/01.mlr.0000207464.61661.05
Hunink, M., Glasziou, P., Siegel, J., Weeks, J., Pliskin, J., and %Elstein, A., et al. (2001). Decision making in health and medicine. Integrating evidence and values. Cambridge, UK: Cambridge University Press.
Morgenstern, O., & von Neumann, J. (2004). Theory of games and economic behavior. Princeton, NJ: Princeton University Press. (Original work published 1944)
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