Ontology highlight
ABSTRACT: Background
An increasing number of technologies are obtaining marketing authorisation based on sparse evidence, which causes growing uncertainty and risk within health technology reimbursement decision making. To ensure that uncertainty is considered and addressed within health technology assessment (HTA) recommendations, uncertainties need to be identified, included in health economic models, and reported.Objective
Our objective was to develop the TRansparent Uncertainty ASsessmenT (TRUST) tool for systematically identifying, assessing, and reporting uncertainties in decision models, with the aim of making uncertainties and their impact on cost effectiveness more explicit and transparent.Methods
TRUST was developed by drawing on the uncertainty and risk assessment
SUBMITTER: Grimm SE
PROVIDER: S-EPMC7081657 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature