Bryce B. Reeve, Ph.D. (USA)
Dr. Bryce Reeve is an Associate Professor within the Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH). He is also a member of the UNC Lineberger Comprehensive Cancer Center. Trained in psychometrics, his work focuses on enhancing the application of patient-reported outcomes (PROs) in clinical research and practice to improve the quality of care for pediatric and adult cancer patients. This includes the development of PRO measures using qualitative and quantitative methodologies and integration of PRO data in research and healthcare delivery to inform decision-making. Dr. Reeve currently serves as President of the International Society for Quality of Life Research (ISOQOL). He also serves on NCI’s Symptom Management and Health-Related Quality of Life Steering Committee and ALLIANCE’s Health Outcomes Committee.
Maria Orlando Edelen, Ph.D. (USA)
Maria Orlando Edelen is a Quantitative Psychologist and Senior Behavioral Scientist specializing in health research at RAND. She has extensive knowledge of test theory including Item Response Theory (IRT) and of advanced multivariate analysis methods such as Structural Equation Modeling (SEM) and latent growth mixture modeling. Dr. Edelen is currently PI of the PROMIS Smoking Initiative, a NIDA-funded project that utilizes modern measurement methods to develop item banks for assessing smoking behaviors and biopsychosocial correlates of smoking. Other ongoing research on instrument development and validation is supported by grants from the National Institute of Drug Abuse and the National Heart, Lung, and Blood Institute. These and completed measurement projects include work with expert panels and evaluation of extant measures in addition to development of new items and measures. Grants from NIH have also supported Dr. Edelen’s work examining trends in substance use over time through advanced analysis of longitudinal data, as well as mediation analysis of a school-based drug prevention program.
Liseth Siemons MSc. (NL)
Liseth Siemons MSc. is a PhD student at the University of Twente at the department of Psychology, Health & Technology. Her PhD project focusses on the modeling of disease activity in rheumatic patients. Although index measures like the DAS-28 appear to have an adequate power and predictive value, there are still many uncertainties and measurement problems concerning the individual variables in effect studies. Known problems are bottom- and ceiling effects, non-linearity, low intercorrelations, and an insufficient sensitivity for change. Liseth specifically tries to examine whether modern item response theory and other statistical techniques can be used to model and analyze variables and processes of disease activity.
Eswar Krishnan, Ph. D. (USA)
Dr. Krishnan is an Assistant Professor of Medicine and Director of Clinical Epidemiology at the Division of rheumatology at Stanford University. He has broad research interests ranging from drug safety among patients on arthritis medications, assessing physical frailty and its association with immune parameters, and methodological innovations to measure patient outcomes in these settings. He is currently developing strategies to leverage Big Data available from numerous sources including medical records, vital statistics, administrative data, and patient originating data to inform day-to-day clinical decision-making.
Cees Glas, Ph. D. (NL)
Cees Glas is the chair of the Department of Research Methodology, Measurement and Data Analysis, at the Faculty of Behavioural Science of the University of Twente Enschede, the Netherlands. The focus of his scientific work is estimation and testing of latent variable models in general and specifically item response theory (IRT) models, and the application of IRT models in educational and psychological testing. He was a consultant for numerous research projects including projects of the Dutch National Institute for Educational Measurement (Cito, the Netherlands), and the Law School Admission Council (USA). With his department, he participated in the 2009-cylce of the OECD project PISA for the development of background questionnaires and the analysis of the relation between background variables and educational outcomes. He serves as the chair of the technical advisory committee of the OECD project PIAAC (Program for the International Assessment of Adult Competencies) and is a member of the technical advisory committee of the current PISA cycle. He published more than 60 articles in scientific journals and book chapters. With Wim van der Linden, he co-edited the volume Elements of Adaptive Testing (2010) published by Springer. Supervised theses cover such topics as testing of fit to IRT models, Bayesian estimation of multidimensional and multilevel IRT models supported by MCMC computational methods, and the application of computerized adaptive testing in the context of health assessment and organisational and industrial psychology.
Martijn Oude Voshaar, MSc. (NL)
Martijn Oude Voshaar is a PhD student at the department of Psychology, Health & Technology of the University of Twente. His PhD project focusses on developing and evaluating a computerized adaptive test for measuring physical function in patients with rheumatoid arthritis. His research interest lay in patient reported outcomes and modern measurement theory.
Jakob Bue Bjorner, MD, Ph.D. (DK)
Jakob Bjorner is Chief Science Officer of Optum Patient-Insights, USA. In addition, he is professor of epidemiology at the National Research Centre for the Working Environment and honorary professor at the Department of Public Health, University of Copenhagen. He specializes in applying modern psychometric theory to the measurement of health outcomes. Dr. Bjorner was an International Quality of Life Assessment (IQOLA) project collaborator and subsequently worked with John E. Ware to develop computerized adaptive health assessments of generic and disease-specific patient reported health outcomes. Dr. Bjorner was co-investigator in the Patient-Reported Outcomes Measurement Information System (PROMIS) during its first 5 years. An MD by training, Jakob also has a PhD in medical sociology from the University of Copenhagen.
Stephanie Nikolaus, Ph.D. (NL)
Stephanie Nikolaus is a post-doc at the University of Twente at the department of Psychology, Health & Technology. Her research focusses on the construction of a computerized adaptive test for fatigue in patients with rheumatoid arthritis. Fatigue is a frequently reported symptom of rheumatoid arthritis (RA) and can have annoying consequences for daily life. However, it is not yet clear what its causes are. To gain more insight into the causes and treatment options of fatigue in RA, it is essential to measure this symptom adequately. Existing questionnaires for fatigue have the disadvantage that they are not developed from the patients’ perspective and/or have a traditional questionnaire format. In a computerized adaptive test (CAT), however, questions are respectively selected by the computer, based on the previous answer of a patient. By this means comprehensive and precise measurement on an individual level becomes possible. For her dissertation, Stephanie has examined the meaning of fatigue for patients with RA and has collected fatigue questions (items) based on the patients’ perspective and also under consideration of the perspective of professionals in rheumatology. These items were used for the development of an item pool which formed the basis for the development of a CAT that was constructed in the first part of her post-doc project. A usability test with patients showed that the first version of the CAT was experienced as user-friendly, clear and innovative. Currently, the measurement properties of the CATFatigueRA are examined in a validation study. Finally, the new measurement instrument will be used in daily clinical practice and for research purposes.
Ron D. Hays, Ph.D. (USA)
Professor Ron Hays has been at UCLA since 1997. He was full-time at RAND from 1984 until the UCLA appointment and has served as a RAND consultant since then. His research has focused on patient-reported behaviors and patient-reported outcomes. He is the principal investigator for the ARHQ-funded CAHPS study and principal investigator for a subcontract to UCLA from the NIH Patient Reported Outcomes Measurement Information System (PROMIS) project. Dr. Hays is also the head of the measurement core for the UCLA/Drew Research Center for Minority Aging Research (RCMAR). He has co-authored 462 peer-reviewed articles, 13 reviews of the literature and 37 book chapters.