Assessing the health economic agreement of different data sources

Abstract

In this article, we present a simple-to-use framework for assessing the agreement of cost-effectiveness endpoints generated from different sources of data. The aim of this package is to enable the rapid assessment of routine data for use in cost-effectiveness analyses. By quantifying the comparability of routine data with “gold-standard” trial data, we inform decisions on the suitability of routine data for cost-effectiveness analysis. The rapid identification of informative routine data will increase the opportunity for economic analyses and potentially reduce the cost and burden of collecting patient-reported data in clinical trials.