professor Sarah Wordsworth
BSc MSc PhD
Professor of Health Economics
I joined the Health Economics Research Centre in January 2003 and developed a research programme on the economics of genetic and genomic technologies. Of particular interest are the economics of translating high-throughput sequencing technologies such as whole genome sequencing in rare diseases and cancer into health care systems.
My other research interests include antimicrobial resistance (AMR) where I explore the contribution that health economics can bring to this important health area and identify barriers to implementing interventions for reducing AMR. I also address methodological challenges in trial based economic evaluations in the areas of surgery for obesity, lung cancer surgery, cardiovascular disease and eye disease.
I undertake policy work and lead the Health Economics Genomics England Clinical Interpretation Partnership (GeCIP). for the UK’s 100,000 Genomes Project. This is the largest sequencing initiative in the world, and sequenced 100,000 entire genomes from around 70,000 National Health Service patients with rare diseases and cancer.
As a Senior Fellow at St. Anne’s College I am a member of the college Governing Body, graduate advisor for DPhil and MSc students and part of the Centre for Personalised Medicine (St. Anne’s and Wellcome Trust Centre for Human Genetics).
I teach a variety of undergraduate and graduate students, I am also Co-Director of the MSc in Precision Cancer Medicine (University of Oxford) and supervise DPhil students.
I worked in the Health Economics Research Unit at the University of Aberdeen from 1995-2002, after completing my MSc in Health Economics in 1995 at the University of York.
Impact of video-assisted thoracoscopic lobectomy versus open lobectomy for lung cancer on recovery assessed using self-reported physical function: VIOLET RCT.
Lim E. et al, (2022), Health Technol Assess, 26, 1 - 162
Integrating genome-wide polygenic risk scores and non-genetic risk to predict colorectal cancer diagnosis using UK Biobank data: population based cohort study.
Briggs SEW. et al, (2022), BMJ, 379
Whole-genome sequencing of chronic lymphocytic leukemia identifies subgroups with distinct biological and clinical features.
Robbe P. et al, (2022), Nat Genet
Cost-Effectiveness Analysis of Treating Patients With NTRK-Positive Cancer With the Histology-Independent Therapy Entrectinib.
Huygens S. et al, (2022), Value Health
Antibiotic review kit for hospitals (ARK-Hospital): a stepped-wedge cluster-randomised controlled trial.
Llewelyn MJ. et al, (2022), Lancet Infect Dis