The course is designed to equip students with knowledge about the basic theoretical foundations of Economic Evaluation, and to enable them with the practical skills to undertake health economic decision modelling.

Economic evaluation is the comparative science in which health interventions are compared in terms of both their costs and their effectiveness. The module is divided into one theoretical part, where the focus in on developing an understanding the basic principles, potential roles and limitations of economic evaluation, and one practical part with focus on developing economic evaluation modelling skills.

Theoretical part (days 1-5):

1. The structure of economic evaluation, different types of economic evaluation, their usefulness and limitations
2. Costing in economic evaluation
3. Measuring health benefits in economic evaluation
4. Interpreting cost-effectiveness results
5. Uncertainty in economic evaluation

Practical part (days 6-10):

1. The basics of TreeAge, and building a simple decision tree model
2. Building a Markov life cycle model
3. Working with large models and Integrating TreeAge with Excel
4. Incorporating uncertainty through one-way and probabilistic sensitivity analyses
5. Extending the use of the models: Expected Value of Perfect Information analyses and Microsimulation

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student .

• knows how different types of economic evaluations and modelling techniques can help address policy questions in health care
• is able to describe and discuss issues on measuring and valuing resource use in health and non-health service costs
• is able to describe and discuss issues on measuring and valuing health consequences
• knows the basic requirements for presenting output from economic evaluations, is able to correctly interpret results and discuss how results should be applied in priority setting
• knows how different types of economic evaluations and modelling techniques can help address policy questions in health care
• is able to describe and discuss issues on measuring and valuing resource use in health and non-health service costs
• is able to describe and discuss issues on measuring and valuing health consequences
• knows the basic requirements for presenting output from economic evaluations, is able to correctly interpret results and discuss how results should be applied in priority setting
• is able to appraise the quality and usefulness of economic evaluations in low-income settings.
• Understand the basic principles of Expected Value of Perfect Information and Microsimulation analyses

Skills

The student.is able to

• build and apply a decision analytic model based on a decision-tree
• build and apply a decision analytic model based on a Markov life cycle model
• incorporate and analyse uncertainty through one-way and probabilistic sensitivity analyses

present cost-effectiveness results

General competence

Economists, other social scientists, medical doctors, psychologists, nurses, dentists and others with training at the bachelor level or higher in a relevant subject at a recognized institution can be admitted to the MSc level course.

Applicants with similar background and training at the MSc level or higher in at a recognized institution can be admitted to the PhD level course.

Candidates with practical experience from policy making at local, national or international level will be given priority

• Relevance of economic evaluation for planned research activities
• Master- students enrolled at the University of Bergen
• tropEd students
• Eligible students from other higher education institutions

The teaching is based on residential teaching at University of Bergen.

The first five days are largely theoretical, and consists of a mixture of lectures and group work/discussions on the main topics described above. Students are required to participate in group work on assigned topics. This includes daily student active teaching exercises, with alternating group compositions and presentation of results for the class.

The following five days are largely practical, and students will work through exercises on their own laptops on a "learning by doing" principle. Each day will be organised around a number of assignments that must be completed individually. The softwares TreeAge Pro Suite 2013 and Microsoft Excel will be used throughout the module.

Finally, students who would like to have credits accepted for PhD level (INTH 914) must develop a decision model and complete an essay on a topic of the students¿ choice in a 7 day home exam.

The model and home exam may later be used as core for a scientific publication.

The module has a Student Investment Time of 90 hours:

Contact time = 30 hours,

Directed study (group work) = 30 hours,

Self-directed learning (individual) = 30 hours

Number of students:

Minimum 8

Maximum 12 (4 places reserved for medical students)

The module in continuously assessed and all the daily mandatory assignments must be accepted in order to pass the module. Students will receive separate grades (A-F) for the theoretical and practical parts of the module, as well as a final grade (A-F) that will appear on the course certificate. The grades of the two weeks are weighted equally in the final grade.

Students who receive the grade "F" are allowed to re-sit according to standard procedures at the University of Bergen.

Reading list:

• Alastair M. Gray et al. (2011). Applied Methods of Cost-effectiveness Analysis in Health Care. Oxford University Press. ISBN 978-0-19-922728-0.
• Supplementary scientific articles (will be provided during the course)

Personal computer (laptop), with adequate specifications

Mandatory software (must be obtained and installed before the start of the module):

• Microsoft Excel
• TreeAge Pro Suite (http://www.treeage.comwww.treeage.com )

(A "student course licence" costs US$ 45 is sufficient for the module and lasts 6 months. Upgraded licence versions are mandatory for undertaking actual research activities for publication).

Centre for International Health

E-mail: mailto:studie@igs.uib.nostudie@igs.uib.no

Tel: 55 58 85 69