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Abstract

Precision oncology aims to improve patient health through biomarker discovery and individualized patient care. In pursuit of individualization, precision oncology has amplified evidentiary uncertainty. In Canada, go/no-go decisions based on reference case economic evaluations and health technology assessment (HTA) are failing to stem intense clinician and patient demand for low-value precision oncology. Life-cycle health technology assessment (LC-HTA), which enables conditional patient access alongside continuous evidence development, is one approach to balancing demand and uncertainty with healthcare systems' sustainability objectives. LC-HTA is characterized by repeated, standardized, real-world data collection and analyses to guide appraisal, re-appraisal, and de-adoption. This seminar will describe a Canadian initiative for learning healthcare and precision oncology that is: developing an LC-HTA framework for managed access of early stage technologies; leveraging real-world data for continuous evidence generation; and applying machine learning to support health economic evaluation.

Biographies

Dr. Dean Regier is a Scientist within Cancer Control Research, BC Cancer and the Canadian Centre for Applied Research in Cancer Control (ARCC), and an Associate Professor, School of Population and Public Health, University of British Columbia. Dr. Regier’s research focuses on understanding access to healthcare and improving methods to estimate the benefit of health care, with applications to genomic technologies and the ‘value of genomic knowledge’ i.e. how genes play a role in our personal lives and how publics value and trade between benefits and risks when making decisions to undergo testing. He incorporates this person-centred evidence into economic models that answer questions of equity and value for money.

Deirdre Weymann is a Senior Health Economist within Cancer Control Research, BC Cancer and ARCC. She holds a Master’s degree in Economics from the University of Victoria and a Bachelor of Science degree in Economics, Mathematics and Statistics from the University of British Columbia. Deirdre’s research focuses on preference elicitation and economic evaluation in the context of precision medicine. Her recent work uses quasi-experimental study design to evaluate genomic technologies outside of randomized controlled trials and considers the potential for machine learning to facilitate real-world data analysis.

Richard Doll seminars IN Public health and epidemiology

 Richard Doll

Forthcoming events

Infectious Disease Seminar Series: Evolutionary drivers of antibiotic resistance in pathogen populations

Monday, 03 October 2022, 1pm to 2pm @ BDI/OxPop Building Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

What is new in Polygenic Risk Scores?

Tuesday, 11 October 2022, 1pm to 2pm

Infectious Disease Seminar Series: Lessons learned - Will suffering through one pandemic help prevent another?

Monday, 17 October 2022, 1pm to 2pm @ Big Data Institute / OxPop Building, Old Road Campus, Headington, OX3 7LF

Infectious Disease Seminar Series: Global molecular epidemiology of HIV-1

Monday, 31 October 2022, 1pm to 2pm @ BDI Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

Infectious Disease Seminar Series: COVID-19 and Kids: what have we learnt after 3 years?

Monday, 07 November 2022, 1pm to 2pm @ BDI Seminar Room LG 1, Old Road Campus, Headington, OX3 7LF