Posted by Michael Wonder on 18 Nov 2019
Improving transparency in decision models: current issues and potential solutions
23 October 2019 - Decision-analytic models have become an essential tool used to inform health technology assessments.
These models provide a mathematical framework to synthesize data from various sources to support predictions of the economic and health impact of new and existing health technologies.
They tend to be complex and are rarely fully validated against external data; yet, use of their forecasts requires trust in their accuracy and lack of bias. Thus, decision makers and other stakeholders want to be able to review their structure, inputs, and assumptions fully, and this necessitates that these models be available and transparent enough to permit adequate review.
