Professor of Stroke Medicine
- Chief Executive Officer, Oxford Academic Health Science Network
- Consultant Stroke Physician OUH
My work focuses on developing and evaluating treatments that can reduce brain damage in the first few hours after stroke, and developing better processes of care to deliver for stroke patients.
I have developed and evaluated the performance of stroke recognition instruments such as the Face Arm Speech Test (FAST) and Recognition of Stroke in the Emergency Room Scale (ROSIER) to improve early diagnosis of stroke by the public, ambulance paramedics and Emergency Department teams.
My work has evaluated the risks and benefits of thrombolysis in very elderly stroke patients 80 years or older, who are the population at highest risk of stroke.
In addition to my research in stroke my work more broadly seeks to understand the risks and benefits of drug therapies in older people.
Economic evaluation of robot-assisted training versus an enhanced upper limb therapy programme or usual care for patients with moderate or severe upper limb functional limitation due to stroke: results from the RATULS randomised controlled trial.
Fernandez-Garcia C. et al, (2021), BMJ Open, 11
Blood Pressure Changes Following Antihypertensive Medication Reduction, by Drug Class and Dose Chosen for Withdrawal: Exploratory Analysis of Data From the OPTiMISE Trial.
Sheppard JP. et al, (2021), Front Pharmacol, 12
Cost-effectiveness of an enhanced Paramedic Acute Stroke Treatment Assessment (PASTA) during emergency stroke care: Economic results from a pragmatic cluster randomized trial
Bhattarai N. et al, (2021), International Journal of Stroke
Secondary transfer of emergency stroke patients eligible for mechanical thrombectomy by air in rural England: economic evaluation and considerations.
Coughlan D. et al, (2020), Emergency medicine journal : EMJ
Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT.
Rodgers H. et al, (2020), Health Technol Assess, 24, 1 - 232