UPDATE: There are currently no dates for the next running of this module.

Module lead: Dr Pelham Barton

Module code: 01 27603

Credits: 15

Attendance: Teaching delivered in an initial block of five consecutive days

Learning hours: 150 hours – teaching and private study

With the UK government’s effort to develop national clinical guidelines to secure consistent, high quality, evidence-based medicine predicated on outcomes and cost, it is important that students understand the role of economic modelling in the decision-making process. The module will explore the potential impact of genomic technologies on the healthcare system. Economic models will be used to demonstrate the anticipated costs and benefits of new technological approaches.

Technological advances in the area of genomic medicine have led to new tests with major impact on improving disease diagnosis and effectiveness of treatments. However, the continuous growth in the use of genomic technologies has cost implications. Using established economic models it is possible to predict the costs of new treatments and assess benefits to patients in the context of the available resources for health care.

In addition, this module will explore the factors that determine the effects of the rapid development of genomics on health care systems covering the role and relative influence that government, doctors and the public exert in this process. These will be analysed to assess whether clients/patients are best served by current arrangements and whether people’s health outcomes match reasonable expectations. Students will be encouraged to propose ways of tackling perceived shortcomings.

By the end of the module students should be able to:

  • Understand and critique the various means for measuring costs and health outcomes in healthcare interventions
  • Understand the different forms of economic evaluation and critique them in relation to genomic medicine
  • Acquire and apply knowledge in economic models and human genomics
  • Make informed choices between treatment options based on measures of disease burden such as quality-adjusted life years and disability-adjusted life years

Assessment: The module will be assessed via two extended essays (essay submission date typically around five-six weeks after the teaching).