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Net Health Benefits

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  • Aaron A. Stinnett
  • John Mullahy

Abstract

In recent years, considerable attention has been devoted to the development of sta tistical methods for the analysis of uncertainty in cost-effectiveness (CE) analysis, with a focus on situations in which the analyst has patient-level data on the costs and health effects of alternative interventions. To date, discussions have focused almost exclu sively on addressing the practical challenges involved in estimating confidence inter vals for CE ratios. However, the general approach of using confidence intervals to convey information about uncertainty around CE ratio estimates suffers from theoretical limitations that render it inappropriate in many situations. The authors present an al ternative framework for analyzing uncertainty in the economic evaluation of health interventions (the "net health benefits" approach) that is more broadly applicable and that avoids some problems of prior methods. This approach offers several practical and theoretical advantages over the analysis of CE ratios, is straightforward to apply, and highlights some important principles in the theoretical underpinnings of CE anal ysis. Key words: cost-effectiveness; net health benefits; uncertainty. (Med Decis Mak ing 1998;18 suppl:S68-S80)

Suggested Citation

  • Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits," Medical Decision Making, , vol. 18(2_suppl), pages 68-80, April.
    • Handle: RePEc:sae:medema:v:18:y:1998:i:2_suppl:p:s68-s80
    DOI: 10.1177/0272989X98018002S09
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    References listed on IDEAS

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    1. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    2. Dale J. Poirier, 1995. "Intermediate Statistics and Econometrics: A Comparative Approach," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161494, April.
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