Dr John Allotey, PhD, MSc
Senior Research Fellow in IPD Methodology and Clinical Trials
Email: firstname.lastname@example.orgTelephone: 020 7882 6048
John is skilled in clinical research using various methodologies, prognosis research in healthcare, clinical trials, data analysis and research mentorship. His work has already contributed to national and international guidelines in women’s health, and he aims to continue to produce high quality evidence in women’s health by providing personalised risk prediction with minimal research waste through Individual Participant Data (IPD) use and aggregate data meta-analysis.
His interest are in the development, evaluation and implementation of prognostic models using technologies such as mobile apps, clinical trials in women’s health, systematic reviews, and aggregate and IPD meta-analysis
John has almost a decade of experience in academic clinical research, which started when he became a trial co-ordinator in 2010 at the University of Birmingham, first working on a clinical trial in primary care to prevent recurrent venous thromboembolism. He later moved to the Women’s Health Research Unit (WHRU) at Queen Mary University of London in 2012 and managed the PREP study, which developed prediction models for complications in pregnant women with early onset pre-eclampsia, led by Profs Khalid Khan and Shakila Thangaratinam. Since then, he has supported many trials within the WHRU, including EMPiRE, ESTEEM, PrePro, PRAM’OH and VISTA.
His academic career took a turn from trial management following his involvement in the development and evaluation of the PREP models, which led him to undertake a PhD at the University of Amsterdam with his research aimed at improving the prediction and prevention of adverse pregnancy outcomes. He helped establish the International Prediction of Pregnancy Complications (IPPIC) Network, and led the National Institute for Health Research (NIHR) funded project on the prediction of pre-eclampsia using IPD. He also currently leads the IPD meta-analysis project on prediction of fetal growth restriction (also funded by the NIHR).
John’s work has contributed to guidelines on epilepsy in pregnancy, as well as on the management of pregnant women with hypertensive diseases. His work is collaborative in nature with the IPPIC Network boasting more than 125 researchers from 25 countries. He has also developed an interest in global women’s health and is working with the World Health Organisation on identifying risk factors for maternal mortality in Low-Middle Income Countries (LMICs) and on calcium supplementation to prevent pre-eclampsia in LMICs.
PhD and Endeavour fellow co-supervisor
Year 1 & 2 PBL facilitator
John’s research currently focuses on the development, evaluation and practical implementation of clinical prognostic models. He is currently looking at how to develop and evaluate a toolkit, incorporating a prediction model he developed for risk of seizures in pregnant women with epilepsy, which can then be tested in a randomised trial.
John is lead researcher on the large multinational collaborative IPPIC pre-eclampsia and fetal growth restriction projects, which aims to (respectively) predict pre-eclampsia and fetal growth restriction in pregnant women using IPD. He is also the QMUL lead for the CRESCENDO project which aims to develop prediction models for surgical success in women with endometriosis, and is also involved in the evaluation of early pregnancy risk factors for stillbirth using IPD meta-analysis.
John is involved in a number of systematic reviews and aggregate data meta-analysis, including risk factors for maternal mortality in LMICs, calcium supplementation to prevent pre-eclampsia in LMICs and clinical risk factors for endometriosis.
Hitchings, S. , Allotey, J. , & Pittrof, R. . (2010). Do sexual health staff know what patients want from services? International journal of STD AIDS, 21(3), 202-204.
Hitchings, S. , Allotey, J. , & Pittrof, R. . (2009). What do patients want most from sexual health services? International journal of STD AIDS, 20(10), 719-722.