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Sunday, 3 November 2002 |
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8:00-12:00 |
Pre-Meeting Short Courses
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Adapting Disease Specific Quality of Life
Measurement for Utility Measurement
Schadee Zaal C3.4
Faculty: Jan Busschbach PhD, Senior
investigator Department of Medical Psychology and Psychotherapy, Erasmus MC,
Rotterdam, The Netherlands, and Jeremy Chancellor BSc, MSc, Managing
Director European Operations INNOVUS, Amersham, UK
Course Description: This course will
teach participants how to adapt disease specific quality of life instruments
for QALY analysis. This adaptation overcomes the problem of insensitivity of
generic instruments like EQ-5D and HUI when they are not tailored for the
outcome of interest. The course focuses on the practical application: how
can we adapt a disease specific instrument most effectively. These effective
adaptations will be practised during the course, to ensure that the skills
will be transferred to the participants. The interpretation of utilities
elicited by specific instruments will be discussed in relation to utilities
elicited by generic instruments. In this comparison we will demonstrate that
some operationalisations of disease specific utilities are clearly not
comparable with utilities elicited with generic instruments. Other
operationalisations of disease specific utilities are more comparable with
generic utilities, but the disutility of co-morbidity and the overall
quality of life level has to be taken into account. This critical review
will be used for a discussion with the audience about the usefulness of the
disease specific utility instruments. This course is for those with some
experience with quality-of-life measures in health economic evaluation.
Measuring Health-related Quality of Life using
EQ-5D
Hudig Zaal C3.3
Faculty: Frank de Charro PhD,
Centre for Health Policy and Law, Erasmus University, Rotterdam, The
Netherlands, and Paul Kind Mphil, Principal Investigator, Outcomes Research
Group, Centre for Health Economics, University of York, York, UK
Course Description: This short course is
designed to provide up-to-date information about EQ-5D, a generic measure of
health-related quality of life, This course will present information
relating to the design of its 5-dimensional descriptive system and the
valuation of EQ-5D health states. Valuation data from a European-wide BIOMED
project will also be presented. Examples of EQ-5D applications in both
clinical and economic will be reviewed and the future prospects for its use
as a generic measure of health outcomes will be discussed. This course is
for those with some experience with quality of life measurement.
Health Economics and Health Policy
Ruys Zaal C4.6
Faculty: : Alan Williams, Professor of
Economics, Centre for Health Economics, University of York, York, UK and
Elly Stolk MSc, iMTA, Erasmus University, Rotterdam, The Netherlands
Course Description: This course is
designed for healthcare decision-makers and those interested in the role of
health economics in health policy models. In health care decision-making,
conflicts may occur between efficiency and equity objectives. Measurable
interpretations of equity make it possible to solve these conflicts through
the application of equity weights. The course will provide an interactive
introduction into the theory and practice of equity weighting. Participants
will engage in several experiments, for example to test whether
decision-making is consistent with the efficiency objective, and to
demonstrate how equity and economic concerns can be balanced. There are no
requirements for participation.
Computer-assisted Decision Analysis Applications
Willem Burger Zaal C3.2
Faculty: Jeffrey Bellsey, Programmer and
Trainer, TreeAge Software, Inc., Williamstown, MA, USA
Course Description: This course is a
hands-on introduction to the use of software in the creation and analysis of
cost-effectiveness decision models. The basics of cost-effectiveness
decision making, building and analyzing a simple decision tree will be
discussed. Markov modeling and Monte Carlo simulation will be introduced.
The participant must bring a laptop computer with Microsoft Windows 95
software or later onto which a special version of TreeAge Software's DATA
program will be loaded. This course is for those with no prior experience in
building decision trees.
Bayesian Methods in Economic Evaluations
Plate Zaal C4.4
Faculty: Anthony O'Hagan PhD, Professor
of Statistics, Centre for Bayesian Statistics in Health Economics,
University of Sheffield, Sheffield, UK; Jeremy E. Oakley PhD, Lecturer,
Department of Probability and Statistics, University of Sheffield,
Sheffield, UK; John W. Stevens PhD, Senior Statistics Advisor, Clinical
Sciences, AstraZeneca R&D Charnwood, Loughborough, Leicestershire, 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.
Transferability of Cost-Effectiveness Data
between Countries
Van Beuningen Zaal C3.5
Faculty: Jan
Oostenbrink MSc, Maureen Rutten-van Mölken PhD, Senior HTA-researchers, iMTA,
Erasmus University, Rotterdam, The Netherlands and Richard Willke PhD,
Senior Director, Global Health Economics, Pharmacia, Peapack, NJ, USA
Course Description: Although the
number of countries requiring an economic dossier as part of the submission
dossier for public reimbursement of new drugs is growing, the pharmaceutical
industry cannot conduct economic evaluations in every potential market.
Clinical trials are increasingly done in international settings in order to
quickly recruit a sufficient number of patients and to have at least some
economic data from multiple countries. However, national decision makers
require country-specific or region-specific data on health care costs and
are only willing to accept foreign data or international data when they are
translated to their own specific setting. But guidelines on how to do this
do not exist. This course starts with a discussion of factors that make
economic data more difficult to transfer from one country to other countries
than clinical data. Then we will review the methods that have been presented
to offer a solution to this problem and their pros and cons. These methods
include various types of regression-based methods and Markov models. This
course is for those with basic understanding of cost calculation and
modelling.
Bootstrapping: Fundamentals and Applications
Van Rijckevorsel Zaal C4.5
Faculty: Andrew Briggs, DPhil, Public
Health Career Scientist, University of Oxford, Oxford, UK; Hans Severens,
PhD, Professor of Medical Technology Assessment, University of Maastricht,
Maastricht, The Netherlands
Course Description: This course aims to
give an overview of statistical aspects of economic evaluations. A trial
based cost-effectiveness analysis results in an estimate of the incremental
cost-effectiveness ratio, which is defined as the difference in costs
between two health care interventions over the difference in their effect.
Several methods exist to investigate the statistical uncertainty surrounding
the ratio estimate. A non-paramteric approach to handle this uncertainty is
based on bootstrap simulations. Using this method, uncertainty in both cost
and effects can be made visible as a scattergram in a classical
cost-effectiveness plane. Besides, the scatterdiagram can be translated into
the cost-effectiveness acceptability curve in order to present the
cost-effectiveness uncertainty to decision makers in a clear manner. This
course is for those with basic experience in cost-effectiveness analyses.
Participants will have the opportunity to apply and practice bootstrapping
during the course. Participants should bring a laptop computer with
Microsoft Excel software. |
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