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Claire Rothery is a Senior Research Fellow on the Programme on Economic Evaluation and Health Technology Assessment. She joined the Centre for Health Economics in 2006 after completing the MSc in Health Economics at York. She holds a MSci in Mathematics (2001), PhD in Theoretical Physics (2004), and MPhil in Medical Statistics (2005), all awarded by Queen's University Belfast, Northern Ireland. Claire’s research interests are centred on the development and application of decision analytic modelling methods and Bayesian approaches to Health Technology Assessment. She has specific interests in the use of constrained optimisation methods in economic evaluation and Value of Information analysis for informing research prioritisation decisions. She is co-chairing the International Society For Pharmacoeconomics and Outcomes Research (ISPOR) Task Force on Emerging Good Practices for Value of Information analysis.
Claire has led an extensive number of Health Technology Appraisals for the National Institute for Health and Care Excellence (NICE) in the UK. She also served on the NICE Technology Appraisal Committee from 2013-2016 and is currently a member of the NICE Decision Support Unit. Claire serves as a co-editor of the scientific journal Value in Health.
In 2011, Claire was awarded the Society for Medical Decision Making (SMDM) award for Outstanding Paper by a Young Investigator. The award was given for the research paper published in the Journal of Health Economics: Budgetary policies and available actions: A generalisation of decision rules for allocation and research decisions. Journal of Health Economics (2010); 29(1):170-181.
In 2017, Claire was awarded ISPOR’s 2017 Excellence in Methodology in Pharmacoeconomics and Health Outcomes Research Award. Claire was recognized for her outstanding contribution to research in the field of health economics and outcomes research methodology for the paper: A Comprehensive Algorithm for Approval of Health Technologies With, Without, or Only in Research: The Key Principles for Informing Coverage Decisions. Value in Health (2016); 19:885-891.