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MORNING COURSES
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
Instructor:
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.
Modeling
(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 |
