Module 9 - Decision Analysis for Health Technology Assessment - ECO00064M

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  • Department: Economics and Related Studies
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2022-23

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