David’s current research interests focus on indirect treatment comparisons and early health technology assessment (HTA) modelling.
He specialises in the application and development of methodologies for indirect treatment comparisons of treatments not directly compared in clinical trials. David has taught training courses and published numerous academic papers in this field. Furthermore, he leads SHTAC’s evaluation of meta-analysis and indirect treatment comparison components of company submissions to NICE as part of the TAR programme.
David’s work in early health technology assessment focuses on medical devices and digital technologies (MedTech). He is currently supporting several academic and industry partners in their paths to reimbursement. David enjoys collaborating with multidisciplinary teams to develop research proposals. He has built decision-analytic models to evaluate cost-effectiveness and conducted value of information (VOI) analyses to inform future research priorities.
Joanne has research interests in health economic evaluation and decision modelling.
She has worked on a wide range of applied cost-effectiveness studies, including:
a review of newborn screening for inborn errors of metabolism;trials of diagnosis, patient education, structured decision-making and therapeutic interventions for arthritis and back pain;evaluations of diagnostic tests, preventive treatment and contact tracing for tuberculosis;a model of geographic allocation of resources for control of Chagas disease in Central America; andanalyses relating to the prevention and treatment of cardiovascular diseases.
Her methodological contributions include an MRC funded project on whole pathway modelling for NICE clinical guidelines and an economic perspective on test evaluation. She has also contributed to health outcome and quality of life studies.
