ISPOR 7th Annual European Congress
24-26 October 2004, CCH Congress Centrum Hamburg, Hamburg, Germany




Pharmacoeconomics and Outcomes Research (AM) 8:00-12:00

European Databases and Retrospective Database Analysis

Instructor: Bernd Bruggenjurgen MD, MPH, Coordinator-Health Economics, University of Berlin, Berlin, Germany


Course Description: Large administrative patient databases provide a unique opportunity to examine retrospectively the effects of health care intervention use on clinical and economic outcomes in "real world" settings. During this course, databases in Europe and their characteristics will be discussed. Issues when conducting retrospective database analysis including statistical issues will be examined. The ISPOR Checklist for Retrospective Database Studies, a useful tool for assessing as well as conducting retrospective studies will be discussed. This course is for those with little experience with European databases and retrospective database analysis. 

Quality of Life / Patient-Reported Outcomes / Preference-based Measurement (AM) 8:00-12:00

International Studies in Patient-Reported Outcomes

Linda Abetz MA, Director, Questionnaire Development and Validation, Mapi Values, Bollington, UK; Benoit Arnold, Director, Patient Scales for Clinical Practice, Mapi Values, Lyon, France

Course Description: This course will examine common issues encountered in international trials, particularly in terms of pooling data. Country-specific perceptions of patient-reported outcomes will also be provided. This course is designed for individuals with some experience with quality-of-life studies.

European Health Care Policies (AM) 8:00-12:00

Health Care and Reimbursement Systems in Europe

Instructor: Christian Gericke MD, MSc, DTMH, Department of Health Care Management, Berlin University of Technology, Berlin, Germany


Course Description: During this course, the structure of health care systems in key European countries will be described and compared, with a focus on health care financing and resource allocation mechanisms. The incentive properties of different financing and resource allocation options will be identified. Issues such as conflict between efficiency and equity or in defining benefit packages will be explored in more detail. Hurdles when introducing new health care technology products and services will be discussed, as well as newer developments in health system organization and management affecting the reimbursement of health care technology indirectly, such as changes in the public-private mix of health finance and provision and purchaser-provider splits. This includes a discussion of the current role of health technology assessment and health economic analysis for reimbursement decisions in Europe. Participants will have the possibility to apply the taught course contents in a country case study. This course is designed for those with little experience with health care systems and reimbursement in Europe.

Modeling (AM) 8:00-12:00

Pharmacoeconomic Modeling

Instructor: Uwe Siebert MD, MPH, MSc, Decision Scientist, Director of the Cardiovascular Research Program, Institute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA and Director of the Program on Health Technology Assessment and Decision Sciences (HTA&DS), Institute for Medical Informatics, Biostatistics, and Epidemiology, University of Munich, Munich, Germany; Gaby Sroczynski MPH, Decision Scientist, Institute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA and Bavarian Public Health Research and Coordinating Center, University Munich, Germany

Course Description: This course will present an in-depth discussion of advanced pharmacoeconomic modeling techniques such as Monte Carlo analysis, Markov modeling, and probabilistic sensitivity analysis.
This course is designed for those with intermediate to advanced experience with modeling techniques.

(AM) 8:00-12:00

Bayesian Methods in Economic Evaluations

Instructors:  Anthony O'Hagan PhD, Professor of Statistics, University of Sheffield, Sheffield, South Yorkshire, UK; Jeremy E. Oakley PhD, Lecturer, Department of Probability and Statistics, University of Sheffield, Sheffield, UK

Course Description: This course is designed to provide an overview of the Bayesian approach and its application to health economics and outcomes research. The course will cover basic elements of Bayesian statistics, discuss differences between Bayesian and classical (frequentist) approaches, and demonstrate how to apply the Bayesian approach to clinical trials and cost-effectiveness analyses. Available software will be discussed, and examples of studies will be presented. This course is for those with a basic appreciation of statistics and probability

7th Annual European Congress