This module aims to provide a technical overview of current methods used to perform economic evaluation in healthcare. This is increasingly relevant for bodies such as the National Institute for Health Research (NIHR). Students will be exposed to a range of modeling techniques. The focus of the module will be on the applied methods, with several practical sessions, in which the students will gain hands-on experience in the analysis and interpretation of results.
Module code
GLBH0031
UCL credits
15 credits
Module organiser
Please direct queries to the course administration team in the first instance igh.heds.information@ucl.ac.uk
Admission requirements
Anyone with a 2.1 or above in a quantitative first degree
Content
The module will be structured as a mixture of 10 lectures and 10 practical computer sessions. Topics include:
- Introduction to decision modelling
- Introduction to microsimulation including Monte Carlo Micro Simulation
- Introduction of the use of data in the models
- Introduction to different numerical packages for analysing models
- Focus on using R in modelling (2 lectures: roughly one on deterministic model and one on probabilistic model)
- Discussing model results, how to check and trust the model, how to improve efficiency, conceptual complexity vs computational efficiency
- Case study - deterministic model
- Case study - stochastic model
Teaching and learning methods
The course will be taught primarily through lectures. Tutorials and problem classes will familiarise students with concepts and techniques through a hands-on approach.
Problem sheets will be provided to encourage self-study.
Moodle will be used to provide a repository of course materials, and in other ways at the discretion of the lecturer.
Assessment
There are two methods of assessment:
Examinations 90%
In-course assessment 10%
Assessment date
TBC
Selected reading list
The intention is to use a core textbook with extension articles only where needed.