Guidance on good practice methods for predicting future outcomes in health technology assessment (HTA)
HEOM022 PhD project

Guidance on good practice methods for predicting future outcomes in health technology assessment (HTA)

Contact: Ben Kearns
 

Benjamin Kearns’ fellowship is looking at producing guidance on good practice methods for predicting future outcomes in health technology assessment (HTA). HTAs can be a key evidence source for decision makers when deciding if they should be paying for health technologies. Key outcomes in HTA are the costs to the healthcare system and the benefits to patients. Typically decision makers need to know what these outcomes will be over a patient’s lifetime, but only have evidence for a limited time period. Hence methods for predicting future outcomes are required. Ben’s fellowship builds on previous and on-going work to produce good-practice guidance to assist with producing and communicating predictions of the future.