Net Health Benefits

TLDR

Recent work has focused on statistical methods for uncertainty in cost‑effectiveness analysis, but confidence‑interval approaches have theoretical limitations that make them unsuitable in many cases. The authors propose the net health benefits framework to analyze uncertainty in economic evaluations, offering a more broadly applicable alternative that overcomes limitations of traditional CE ratio methods. This approach provides practical and theoretical advantages over CE ratio analysis, is easy to implement, and elucidates key principles underlying CE analysis. Keywords: cost‑effectiveness, net health benefits, uncertainty; Med Decis Mak 1998;18 suppl:S68‑S80.

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)