This annual award recognizes the paper that best represents a major contribution to the field of health economics and outcomes research.
The ISPOR Award for Value in Health Paper of the Year was established in 2011 to promote quality research, originality, and utility in healthcare decisions.
- The award is given to the best paper published in Value in Health in the previous calendar year.
- The paper should represent a major contribution to the field of health economics and outcomes research or its use in healthcare decision making. Article types can include original research, development of new methods, health policy analysis, and reviews.
- Articles such as editorials, commentaries, and letters are excluded from consideration for this award.
- A candidate may only be nominated for 1 major ISPOR award in a year
- The Editors-in-Chief identify a short list of articles from the “Editor’s Choice” papers published during the preceding 12 months.
- The Associate Editors are then asked to rank the list of nominated papers. From those final rankings, the Editors-in-Chief select the final paper for this award.
- The nominee is then forwarded to the ISPOR Board of Directors for approval.
Nature of Award:
The recipient will receive the award at the Awards Banquet at the ISPOR Annual Conference. The Editors-in-Chief present the award to the corresponding author of the paper.
The recipient will receive the following:
- A complimentary registration to the ISPOR Annual Conference
- Travel and accommodation expenses to the ISPOR Annual Conference
A recipient may choose to receive the award at the ISPOR Europe Conference if he or she is not able to attend the ISPOR Annual Conference.
ISPOR Award for Value in Health Paper of the Year Recipients
Mónica Hérnandez, MSc, PhD, Reader in Health Econometrics at the University of Sheffield, UK and an adjunct associate professor at Aalborg University, Denmark
For the paper, EQ-5D-5L versus EQ-5D-3L: The Impact on Cost Effectiveness in the United Kingdom, Value in Health 2018;21(1):49-56.
Mónica Hernández, PhD, MSc, BSc, is Reader in Health Econometrics at the University of Sheffield, UK and an adjunct associate professor at Aalborg University, Denmark. In 2003, she received her PhD in Economics from the University of Leicester, where she had previously obtained an MSc in Economics with distinction and a First-Class Honors BSc. Dr Hernández specializes in the development and application of statistical and econometric methods to suit policy questions in diverse areas such as alcohol and public health, the use of observational data in HTA, and the take-up of means tested benefits. Her recent research has focussed on various aspects of modelling health state utility data, particularly in the field of mapping. She is a member of the NICE Decision Support Unit and the UK Department of Health funded Policy Research Unit in economic evaluation.
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
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
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
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.
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