After working in higher education professional services for over 10 years, I retrained as an epidemiologist turning a growing interest in physiology and disease into a career change. I am particularly interested in describing health inequalities in chronic diseases and since working as an epidemiologist have gained significant experience in using routinely collected health datasets to examine health outcomes, including extensive use of cancer data.
At HDI I support a range of epidemiological projects including analysis of patient pathways and IQVIA projects to test the Simulacrum.
Outside work I’m either swimming at the lido, in the garden, spending time with friends and family or on the sofa knitting.
Senior Health Data Analyst
Clare trained in epidemiology at Imperial College with a focus on chronic diseases. Whilst there she completed her dissertation on the associations between anthropometric measures and head & neck cancer incidence. After graduating in 2012, Clare worked as a research assistant at Imperial College focusing on environmental epidemiology and King’s College London working on place of death patterns, both roles involved the analysis of routinely collected population-level health data.
Clare has significant experience of using cancer datasets working for the Cancer Research UK – Public Health England partnership for over four years, where she led a variety of projects across the cancer pathway, with outputs including peer-reviewed papers, online tools, blogs and reports. She has a particular interest in utilising data to examine patterns and inequalities along the cancer pathway.
These experiences led her to HDI where she works across various epidemiological studies. Her work involves analysis of cancer registration data linked with secondary datasets to describe patient pathways and outcomes.
Education and awards:
Imperial College London, 2011-2012
– MSc Modern Epidemiology – distinction
University of East London, 2008-2011
– BSc Medical Physiology, 1st prize: Best Undergraduate Biosciences Student 2011
University of Bradford
-BA European Studies with German, 1992-1996
– Pearson C, Poirier V, Fitzgerald K, Rubin G, Hamilton W. Cross-sectional study using primary care and cancer registration data to investigate patients with cancer presenting with non-specific symptoms. BMJ Open. 2020;10(1):e033008.
– Pearson C, Fraser J, Peake M, Valori R, Poirier V, Coupland VH, Hiom S, McPhail S, Moffat J, Lyratzopoulos G, Shelton J. Establishing population-based surveillance of diagnostic timeliness using linked cancer registry and administrative data for patients with colorectal and lung cancer. Cancer Epidemiology, Volume 61, 2019, 111-118.
– Pearson C, Verne J, Wells C, Polato G, Higginson IJ, Gao W. (2017) Measuring geographical accessibility to palliative and end of life (PEoLC) related facilities: A comparative study in an area with well-developed specialist palliative care (SPC) provision. BMC Palliative and Supportive Care 16:14.
– Pearson C, Littlewood E, Douglas P, Robertson S, Gant T, Hansell AL (2015) Exposures and health outcomes in relation to bioaerosol emissions from composting facilities: A systematic review of occupational and community studies. Journal of Toxicology & Environmental Health. Part B. 18(1):43-69
– Wills, L., Nagarwalla, D., Pearson, C. et al. Estimating surgery, radiotherapy and systemic anti-cancer therapy treatment costs for cancer patients by stage at diagnosis. Eur J Health Econ (2023). https://doi.org/10.1007/s10198-023-01623-5
Kidney Cancer Quality Performance Indicators
Real-world Standing Cohorts