Imperial College London


Faculty of MedicineSchool of Public Health

Research Associate in Analysis of Healthcare Data



+44 (0)20 7332 8832v.balinskaite




Dr. Foster Unit3 Dorset Rise, London EC4Y 8EN





Violeta is a Research Associate in the Dr Foster Unit. She has a background in number theory and economic statistics. Her current work involves using HES (Hospital Episode Statistics) and CPRD (Clinical Practice Research Datalink) administrative data-sets to investigate what happens between first symptoms and first acute exacerbation of COPD.

Previously she worked on different projects related to evaluation of the safety and quality of healthcare in England. Her previous projects were related to evaluating the impact of the 2015/16 Quality Premium guidance which aims to reduce unnecessary antimicrobial exposure  on adverse clinical outcomes; the impact of the reorganisation of stroke care on the weekend mortality rates; the risk of adverse birth outcome in pregnant women undergoing non-obstetric surgery.



Deputy M, Rao C, Worley G, et al., 2021, Effect of the SARS-CoV-2 pandemic on mortality related to high-risk emergency and major elective surgery, British Journal of Surgery, Vol:108, ISSN:0007-1323, Pages:754-759

Balinskaite V, Aylin P, Bottle R, 2021, Assessing the impact of a shadowing programme on in-hospital mortality following trainee doctors’ changeover, Bmc Health Services Research, Vol:21, ISSN:1472-6963, Pages:1-7

Balinskaite V, Bou-Antoun S, Johnson AP, et al., 2019, An assessment of potential unintended consequences following a national antimicrobial stewardship programme in England: an interrupted time series analysis, Clinical Infectious Diseases, Vol:69, ISSN:1058-4838, Pages:233-242


Balinskaite V, Trends and geographical variation in antidepressant prescribing in primary care in England: a descriptive analysis, Public Health Science Conference, Elsevier, ISSN:0140-6736

Balinskaite V, The association between the referendum for withdrawal from the EU and the health-care workforce in England: an interrupted time series, Public Health Science Conference, Elsevier, ISSN:0140-6736

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