Course content
Topics covered:
- The normative foundation of economic evaluation.
- Principles of economic evaluation in health care (decision rules in cost-benefit and cost-effectiveness analyses).
- Measuring and valuing health outcomes.
- Estimating cost.
- Discounting.
- Modelled-based and trial-based economic evaluations.
- Sensitivity analysis.
- Use of economic evaluation in decision making.
- Assessing the quality of economic evaluations.
Aim
The aim of the course is to provide an overview and a basic understanding of economic evaluation in health care, to enable participants to perform economic evaluations themselves, and to critically assess the quality of economic evaluations of health care interventions in the literature.
Participants
This course is aimed at PhD students within health services research who plan to include an economic evaluation into their clinical study. The course will have a mix of theoretical and practical elements and will provide published and hands-on examples of how economic data can be analysed for cost-effectiveness analyses.
Form
4 days of 6 hours with lectures and class exercises. We plan to start at 9am and finish at 4pm each day.
Course lecturers
Professor Jan Sørensen & Postdoc Liza Sopina, Danish Centre for Health Economics, SDU.
Guest lecture with Professor Dorte Gyrd-Hansen.
Max number of participants
25 PhD students
Course materials
- Alastair M Gray, Philip M Clark, Jane L Wolstenholme, Sarah Wordworth, Applied Methods of Cost-effectiveness Analysis in Health Care, Oxford University Press, 2012
- Michael F. Drummond, Mark J. Sculpher, George W. Torrance, Bernie J. O´Brien, Greg L. Stoddart. Methods for the economic evaluation of health care programmes. Fourth edition. Oxford University Press, 2015.
- Scientific papers, case studies and empirical/statistical exercises.
Prerequisites
- Statistical knowledge corresponding to a one or two semester course in basic statistics.
- Experience in the use of computer spreadsheets and statistical software packages like STATA or R.
Course fee
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement".
For other participants there is a course fee of DKK 4600,-