Economic evaluation

Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

After finishing the course Economic Evaluation the student has obtained
knowledge of HTA research and specifically economic evaluations. The
student is able to choose between a trial-based or model-based study
to answer his/her research question. The student is aware of the
challenges associated with performing economic evaluations and is able
to design an economic evaluation while taking into account these
challenges. The student is able to analyse, interpret and report cost-
effectiveness data from trial- based and model studies. Finally, the
student is able to critically read and judge the quality of cost-
effectiveness trials and model studies.

Inhoud vak

The course will include the following topics:
- Aims of economic evaluations
- Types of economic evaluations
- Measuring, valuing and analyzing costs
- Quality of life, utilities and QALYs
- Monetary valuation of informal care and productivity losses
- Bootstrapping
- Incremental cost-effectiveness ratios
- Cost-effectiveness planes
- Cost-effectiveness acceptability curves
- Net-benefit framework
- Sensitivity analysis
- Decision tree analysis
- Markov modelling
- Probabilistic sensitivity analysis
- Interpretation and reporting of results of economic evaluations
- Use of cost-effectiveness information in health care policy


Lectures (33 hours), workshops (3 hours), computer practicals (20 hours)


Two assignments and a written examination. The first assignment will be
graded with a grade between 1 and 10, and constitutes 30% of the final
grade. The second assignment will be
graded as sufficient/insufficient. Both assignments should be sufficient
(first assignment grade >=6, second assignment sufficient) to pass the
course. A written examination will account for 70% of the final grade,
and should be graded >= 6 as well.


- Gray AM, Clarke PM, Wolstenholme JL, Wordsworth S. Applied Methods of
Cost-effectiveness Analysis in Health Care. Oxford: Oxford University
- Additional literature on Canvas.


Students following the master Health Sciences and other interested
master students.SPSS, Stata and Excel will be used in the course during
the computer practicals. Basic knowledge in using SPSS and Excel is

Overige informatie

Lecturers: Dr. Judith Bosmans, Dr. Veerle Coupé, Dr. Hanneke van Dongen
and several guest lecturers

Algemene informatie

Vakcode AM_470828
Studiepunten 6 EC
Periode P1
Vakniveau 500
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. J.E. Bosmans
Examinator dr. J.E. Bosmans
Docenten dr. J.E. Bosmans
dr. V.M.H. Coupé

Praktische informatie

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Werkvormen Hoorcollege, Werkgroep, Computerpracticum

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