Associate Professor Borislava Mihaylova
- Health Economics Research Centre
Borislava (Boby) Mihaylova is an Associate Professor and Senior Health Economist at the Health Economics Research Centre at the University of Oxford. Her research programme focuses on economic aspects of chronic disease (such as cardiovascular, chronic kidney disease and diabetes) and comprises studies of the impact of disease events and interventions on morbidity, mortality, health-related quality of life and healthcare costs; development of disease models to evaluate long-term effects of disease and interventions, cost-effectiveness analyses of healthcare interventions and studies of socio-economic determinants of health. She is leading the development of the economic analyses in a number of large randomised controlled trials (SHARP, THRIVE, REVEAL and ACST-2) and in the individual participant data meta-analysis of statin trials (Cholesterol Treatment Collaboration). Her work on effectiveness and cost-effectiveness of statins for cardiovascular disease prevention in the Heart Protection Study and the Cholesterol Treatment Collaboration has been influential in informing treatment recommendations for people at different vascular disease risk.
STOP— a training intervention to optimise treatment for smoking cessation in community pharmacies: cluster randomised controlled trial
Jumbe S. et al, (2022), BMC Medicine, 20
Prediction models for individual-level healthcare costs associated with cardiovascular events in the UK
Zhou J. et al, (2022), PharmacoEconomics
Population-wide cohort study of statin use for the secondary cardiovascular disease prevention in Scotland in 2009-2017.
Thalmann I. et al, (2022), Heart
Effect of statin therapy on muscle symptoms: an individual participant data meta-analysis of large-scale, randomised, double-blind trials.
Cholesterol Treatment Trialists' Collaboration None., (2022), Lancet (London, England), 400, 832 - 845
Statistical models for the deterioration of kidney function in a primary care population: A retrospective database analysis
Oke JL. et al, (2022), F1000Research, 8, 1618 - 1618