Multivariable and Structural Uncertainty Analyses for Cost-Effectiveness Estimates: Back to the Future

May 1, 2019, 00:00 AM
10.1016/j.jval.2018.11.013
https://www.valueinhealthjournal.com/article/S1098-3015(19)30035-X/fulltext
Section Title : DECISION-ANALYTIC MODELING: PAST, PRESENT, AND FUTURE
Section Order : 570
First Page : 570

Background

In this commentary, celebrating the 20th anniversary of the journal Value in Health, I present a brief overview and illustration of the evolution over the past 20 years of the methodological literature providing guidelines for multivariable and structural uncertainty analysis for cost-effectiveness estimates.

Methods

To illustrate the impact of the guidelines for uncertainty analyses, I show how the inclusion of multivariable and structural uncertainty analyses in cost-effectiveness analyses published in Value in Health changed over the past 20 years using publications from 1999/2000, 2007 and 2017.

Results

The commentary is organized in three sections: past, focusing on the development and use of methods for multivariable uncertainty analysis; present, focusing on the growing awareness of the need for structural uncertainty analysis, suggested frameworks for structural uncertainty analysis and how it is currently implemented; and future, considering different methods for combining multivariable and structural uncertainty analyses over the next decades.

Conclusions

I conclude by suggesting how the continued evolution of uncertainty analyses in published studies and health technology assessment submissions can best take into account an important goal of cost-effectiveness analyses: to provide useful information to decision makers.

https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(19)30035-X&doi=10.1016/j.jval.2018.11.013
HEOR Topics :
  • Decision & Deliberative Processes
  • Literature Review & Synthesis
  • Modeling and simulation
  • PRO & Related Methods
  • Survey Methods
Tags :
  • multivariable
  • probabilistic sensitivity analysis
  • structural
  • uncertainty analysis
Regions :