Primary Care Epidemiology
 

Image of Yana Vinogradova

Yana Vinogradova

Principal Research Fellow, Faculty of Medicine & Health Sciences

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Biography

Yana Vinogradova completed a Diploma in Applied Mathematics [MSc equivalent] at Moscow State University (MGU) and joined the Cardiology Research Centre at the Russian Academy of Medical Sciences in Moscow as a Research Fellow. After moving to the UK, she worked in the Division of Cardiology at the University of Leicester, and in the Centre for Health Service Studies (CHESS) and the Division of Health in the Community at the University of Warwick. She joined the University of Nottingham as an expert in medical statistics in 2005. Working as a Research Fellow in the Division of Primary Care of the School of Medicine, she was awarded a PhD in Medicine by published works in 2017.

Expertise Summary

Medical statistics

Epidemiology of diseases

Drug safety studies

Large primary and secondary care databases

Teaching Summary

Yana has taught short courses on how to use statistical software in Epidemiology for Masters and PhD students.

Research Summary

Yana's research primarily involves the use of mathematical models and statistical methods to improve understanding of the dynamics and incidence of diseases, and of treatment outcomes. Her work at… read more

Selected Publications

  • Statistical adviser to students and staff

Current Research

Yana's research primarily involves the use of mathematical models and statistical methods to improve understanding of the dynamics and incidence of diseases, and of treatment outcomes. Her work at Nottingham has largely been in the area of drug safety, focusing in particular on two aspects. The first is adherence to prescribed medications, because failure to use medicines like statins as prescribed may compromise their effectiveness. Identifying patient characteristics associated with various patterns of non-adherence is the aim of such studies. The second is identifying those drugs where prolonged exposure may be associated with increased risks of development of a serious or life-threatening condition or with generally increased mortality. Such observational studies, based on data gathered over long periods in real treatment environments, aim to clarify 'real world' outcomes among the general population, to identify slowly-developing problems such as cancers, which do not manifest themselves in the short term, and to highlight the relative safety or otherwise of different drugs - and, where possible, of different formulations of a particular drug type.

Yana is currently working on drug safety issues associated with hormone replacement therapy (HRT), used to overcome problems associated with menopause. A paper on the associations between venous thromboembolism risk and exposure to specific HRT treatments has been published and a companion study on the risks of breast cancer associated with HRT treatments is in progress.

Past Research

Yana facilitated a variety of studies as a research statistician. These included observational and trial studies in Moscow Cardiological Research Centre and Warwick University. Since joining Nottingham University, she has also worked on risk prediction modelling (QRisk) and observational studies run by the Injury Prevention group.

Future Research

Yana has developed special skills in the handling of very large data sets and has pioneered the use of multiple databases (specifically QResearch and CPRD) to facilitate more detailed research into drug types and formulations and improve the accuracy of risk estimates. Her aim is to build on what has been achieved at Nottingham to continue to deliver independently-researched drug safety information of use to patients, doctors and regulators. She also hopes to develop national and international links with researchers having similar interests. Yana also has many years of experience of medical statistics and epidemiology in many different environments and a wide interest in clinical and medical developments, so will always be seeking other areas where she might usefully contribute.

Primary Care Epidemiology

The University of Nottingham
School of Medicine, Tower Building
Nottingham, NG7 2RD


telephone: +44 (0) 115 846 6915
email:carol.coupland@nottingham.ac.uk