Module 9 - Decision Analysis for Health Technology Assessment - ECO00064M
Module summary
To build on module ECO00050M (Introduction to Economic Health Care Evaluation) and module ECO00053M (Advanced Topics in Economic Evaluation) in particular. The module describes the purpose of decision analytic modelling and the methods used to undertake decision analytic modelling.
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Summer Term 2022-23 |
Module aims
To build on module ECO00050M (Introduction to Economic Health Care Evaluation) and module ECO00053M (Advanced Topics in Economic Evaluation) in particular. The module describes the purpose of decision analytic modelling and the methods used to undertake decision analytic modelling.
Module learning outcomes
Upon successful completion of the module you should be able to:
- Explain and discuss the methodological problems associated with the economic analysis of patient level data carried out alongside randomised clinical trials (RCTs).
- Explain the rationale for decision modelling in economic evaluation and describe its terminology.
- Be able to structure and analyse decision problems using a decision tree and implementation of a Markov model.
- Understand the potential role of other modelling approaches such as individual patient sampling, semi Markov models and dynamic infectious disease models.
- Identify model inputs which are subject to second order uncertainty and select appropriate probability distributions to characterise this uncertainty.
- Interpret the results of a Monte Carlo simulation including cost-effectiveness acceptability curves.
- Understand and implement modelling methods for diagnostic technologies.
Indicative assessment
| Task | % of module mark |
|---|---|
| Open Exam (7-day week) | 100 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Open Exam (7-day week) | 100 |
Module feedback
Feedback will be given in line with University guidelines
Indicative reading
Decision modelling for health economic evaluation Briggs, Andrew; Claxton, Karl ; Sculpher, Mark J.
Oxford : Oxford University Press 2006