Awards

Richard Cookson, PhD, Centre for Health Economics, University of York, York, UK

For the paper, When Future Using Cost-Effectiveness Analysis to Address Health Equity Concerns, Value in Health 2017;20(2):206-212.

Richard Cookson, PhD, is a professor and NIHR Senior Research Fellow at the Centre for Health Economics, University of York. Richard has helped to pioneer "equity-informative" methods of evaluation and monitoring that quantify who gains and losses from health policy decisions. He has helped to develop methods of distributional cost-effectiveness analysis; methods of health equity monitoring for healthcare quality assurance; and methods for investigating public concern for reducing health inequality. He co-chaired the economics sub-group for the WHO review of health inequality in Europe from 2010-12, served on NICE advisory committees from 2002-9, and was seconded to the UK Prime Minister's Delivery Unit in 2010. He is currently an honorary public health academic for Public Health England and member of the NHS Advisory Committee for Resource Allocation.

Sabine E. Grimm, PhD, Maastricht University, Netherlands

For the paper, When Future Change Matters: Modeling Future Price and Diffusion in Health Technology Assessments of Medical Devices, Value in Health 2016;19:720-726.

Sabine Grimm, PhD, is a researcher at Maastricht University in the Netherlands. In her current role, she is involved in different health technology assessment (HTA) research projects, amongst others for the British National Institute of Health and Care Excellence (NICE). Previously, she worked at the University of Sheffield, United Kingdom, where she led and contributed to various methodological projects for the NICE Decision Support Unit. Sabine holds a PhD in Health Economics and Decision Science from the University of Sheffield, and an MSc in Health Economics from City University London. Prior to her career in health economics, she held various positions within the private sector in South East Asia and Germany. Sabine has a keen interest in the development of health economic methods to address decision uncertainty, set research priorities, and incorporate technology implementation considerations in HTA.

Ethan Basch, MD, MSc, University of North Carolina, Chapel Hill, NC, USA

For the paper, Methods for Developing Patient-Reported Outcome-Based Performance Measures (PRO-PMs), Value in Health 2015;18:493-504.

Dr. Basch is a medical oncologist and health services researcher. His clinical expertise is prostate cancer, and his research focus includes patient-reported outcomes (PROs), comparative effectiveness, and quality-of-care assessment. His group determined that clinicians miss up to half of patients' symptoms during clinical trials and in routine practice, and that PROs can fill that gap. He is a federally appointed member of the Methodology Committee of the Patient-Centered Outcomes Research Institute (PCORI), a member of the Board of Scientific Advisors of the National Cancer Institute, and an Associate Editor of JAMA. He leads the Cancer Outcomes Research Program at the University of North Carolina.

Lucas M.A. Goossens, PhD

Assistant Professor of Quantitative Analysis, Erasmus University, institute for Health Policy & Management, Rotterdam, The Netherlands

For the paper, Should I Stay or Should I Go Home? A Latent Class Analysis of a Discrete Choice Experiment on Hospital-At-Home, Value in Health 2014;17:588-596.

Lucas Goossens is an Assistant Professor of Quantitative Analysis at the institute of Health Policy and Management (iBMG) and the institute for Medical Technology Assessment (iMTA) of Erasmus University Rotterdam in the Netherlands.

His research is centered around economic evaluations in healthcare and broader epidemiological studies. He has published in health economic, medical, and epidemiological journals on topics such as interventions in pulmonary diseases, patient preferences, hospital-at-home schemes, and medication adherence. He has a special interest in innovative epidemiological considerations and statistical methods in economic evaluations, medical trials and epidemiological studies, including discrete choice experiments.

He holds a PhD and MSC in health economics and an MA in History. Before he became a health scientist, he worked as a political journalist, specialized in fiscal, economic, and healthcare policy. He currently serves as the Director of the Research Master program of iBMG and the Netherlands Institute for Health Sciences.

James D. Chambers, MPharm, MSc, PhD

Assistant Professor, Center for the Evaluation of Value and Risk in Health (CEVR), Institute for Clinical Research and Health Policy Studies at Tufts Medical Center, Boston, MA, USA

For the paper, Illustrating Potential Efficiency Gains from Using Cost-Effectiveness Evidence to Reallocate Medicare Expenditures

James Chambers is an Assistant Professor in the Center for the Evaluation of Value and Risk in Health (CEVR), in the Institute for Clinical Research and Health Policy Studies at Tufts Medical Center. He leads and works on projects associated with achieving value for money from the use of medical technology in the US health care system. James also helps maintain the Tufts Medical Center Medicare National Coverage Decisions (NCD) database. James graduated from Queens University in Belfast with an MPharm degree and previously worked as a pharmacist in the UK and Ireland. He also obtained an MSc from the University of York and PhD from the Health Economics Research Group (HERG) at Brunel University, both in Health Economics. James' research interests include what factors influence coverage and reimbursement policy for medical technology, the use, and potential value, of cost-effectiveness in the U.S. health care system, and innovation.

Anna Teytelman, PhD

Software Engineer, Google, Inc., New York, NY, USA

For the paper, Modeling the Effects of H1N1 Influenza Vaccine Distribution in the United States

Anna Teytelman received her PhD from MIT's Operation Research Center in June of 2012. Her research focuses on mitigating pandemic influenza spread, in particular using evidence from previous outbreaks to inform dynamic decision-making during future pandemic events. Research topics include dynamic vaccine allocation algorithms and techniques for evaluating non-pharmaceutical intervention effectiveness. She is currently working at Google in New York as a software engineer.

Nicola J. Cooper, PhD

Department of Health Sciences, University of Leicester, Leicester, UK

For the paper, How Valuable are Multiple Treatment Comparison Methods in Evidence-Based Health Care Evaluation?

Nicola J. Cooper, PhD, is a Professor of Healthcare Evaluation Research at the University of Leicester, UK. Her research experience spans a range of academic disciplines including health economics, health services research and medical statistics, and most excitingly, the interface and integration of all three. Nicola joined the Biostatistics group at Leicester in 2000 and since then, her research has focused on the development and application of methods for evidence synthesis and economic decision modelling to inform health technology appraisals. This research has led to collaborations with renowned experts in the area both nationally and internationally, leading to numerous research grants and the development of specialist courses delivered worldwide. The paper, on which the 2012 ISPOR Award for Value in Health Paper of the Year was awarded, was funded by an MRC methodology grant and is an example of the collaborative research Nicola is currently undertaking.

Anthony. E. Ades, PhD

Professor of Public Health Science, University of Bristol, UK

For the paper, Network Meta-Analysis with Competing Risk Outcomes

Tony’s background was in psychology and linguistics. He turned to biostatistics in 1980, and worked on infectious disease in the mother, fetus and newborn. He developed an interest in evidence synthesis while working with Andy Briggs and Mark Sculpher on cost-effectiveness of prenatal HIV testing. He noticed that most of the available evidence was on complex functions of the model parameters, but not the parameters themselves. He determined to use Bayesian Markov chain Monte Carlo methods to estimate the model, and soon discovered that the idea of multi-parameter synthesis had already been developed in David Eddy’s Confidence Profile Method. Since 2002 Tony has led a programme of work on methods for evidence synthesis in epidemiology and decision making, working with Guobing Lu, Nicky Welton, Debbi Caldwell, Malcolm Price, Aicha Goubar, and Sofia Dias. The nominated paper on competing risks has been part of the group’s work on network meta-analysis.