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Advanced Course on Modelling for the Economic Evaluation of Health Care

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HERG Advanced Short Course on Modelling for the Economic Evaluation of Health Care

Two day course run by Health Economics Research Group (HERG) in Brunel University London, Uxbridge

This two day course builds on the three day introductory short course by providing both an in-depth understanding of the key components of economic models and practical training in how to design models within Excel, incorporating uncertainty and heterogeneity. It draws on the extensive experience of the Health Economics Research Group and the teaching combines formal presentations with practical sessions in model building using Microsoft Excel. Early booking is advised and rewarded!

If you would like to attend the course please download the registration form and send it back to HERG Admin by email to herg-admin@brunel.ac.uk

Why should you attend?

There is an increasing need for a wide range of professionals in the health care field to have a firm understanding of economic evaluation methods. This two-day course addresses any advanced needs to be addressed in such contexts.

  • Health care commissioners and purchasers including PCTs need to interpret economic data to assess the relative cost-effectiveness of programmes and interventions.
  • Health care providers at all levels need to take account of cost-effectiveness in the delivery of health care.
  • Clinical and health service researchers are increasingly required to build economic evaluations into their studies.
  • NICE, and similar bodies in other countries, require evidence on cost-effectiveness and use it to inform their recommendations.
  • The pharmaceutical and devices industries need to be able to provide evidence on the cost-effectiveness of their technologies.

Who should attend?

As this course focusses on the technical methods of conducting modelling for economic evaluation modelling, it will be relevant to both UK and non-UK participants.

It is expected participants have taken either the introductory three day course offered by HERG or have similar previous training and expertise. The course covers material of an intermediate and advanced level and provides the foundation for participants to be able to critique models presented to them and to become increasingly involved in the development of new models. Potential participants who have previous training in this area, but are unclear if it is sufficient for this course, are advised to contact HERG prior to registering, to discuss the appropriateness of the course content to their ongoing needs.

Aims of the course

To provide participants with the knowledge and skills necessary:

  • to be able to actively participate in the design and development of economic models
  • to review and to critique models used in the conduct of economic evaluation studies and to be familiar with the key issues in setting up an economic evaluation.

On completion of the course, participants would be expected to be able:

  • to understand the methods required in the design and conduct of economic evaluations based on decision modelling
  • to understand how uncertainty can be incorporated into economic models
  • to recognise the appropriate methods for probabilistic analysis
  • to understand how heterogeneity can be incorporated into economic models
  • to know how to identify which parameters contribute most to uncertainty

Structure of the course

  • The course is a mixture of lecture and practical sessions in model building.
  • Enrolment in the course will be capped at 8 to ensure a high faculty/attendee ratio
  • Participants must bring their own laptop computer – preferably IBM compatible rather than Mac.
  • Participants will be provided with some limited pre-course reading (approximately two weeks prior to the course).
  • Participants will be supplied with an extensive course folder including presentations and readings as well as the material required for the practical sessions.

Course content and Programme*

 
Day One

Day Two 

Arrive and register, 9.00am - 10.00am

Making models probabilistic

Introduction to the course

Incorporating heterogeneity

Building a simple decision tree

Correlation and value of information analysis

Building a Markov model

In-depth discussion, feedback

Conducting sensitivity analysis

 

* The final programme may be subject to minor amendment

 

Teaching Faculty

Doug Coyle  Prof Doug Coyle

Matthew Glover Mr Matthew Glover

Kyriaki Giorgakkoudi  Dr Kyriaki Giorgakoudi

 

Location

The Short Course takes place in the Hamilton Centre at Brunel University London. Accommodation is available in the Lancaster Lodge at the Brunel University Campus. This is a comfortable and modern conference facility, close to Heathrow and with excellent road and public transport links.

Prices

It is an explicit objective of this course to achieve a good mix of participants, ideally with abalanced representation from the health service and the commercial health care sector. As a university research group funded largely by the public sector, we consider it reasonable to charge a lower price to participants from the public sector than to those from the commercial sector.

Non-residential fee includes:

  • Two days course registration
  • comprehensive course materials
  • tea/coffee
  • lunch
  • welcome dinner on first day

Early booking discount (by end of day 31st March 2019):

  • Public sector £750
  • Private sector £1,000

Bookings after early booking discount deadlines:

A 15% discount on course fee will be offered to the attendees of previous HERG Short Courses from the last three years (including May 2019)!

Accommodation

  • One night in en-suite bedroom
  • continental breakfast
  • dinner
  • WiFi
  • use of Spa facilities
  • read more here

Double bed room £190
Single bed room £140 

Cancellation policy

Cancellation must be made in writing to HERG Admin (herg-admin@brunel.ac.uk), HERG, Brunel University, Uxbridge, UB8 3PH):  Four weeks prior to the course: 100% refund. 
Closer to start date (less than four weeks): fees must be paid in full. At any time the place can be transferred to a colleague.
If you would like to discuss the suitability of this course for yourself or for colleagues, please contact: Dr Subhash Pokhrel (Subhash.Pokhrel@brunel.ac.uk). For registration queries, please contact HERG Admin (herg-admin@brunel.ac.uk)
We look forward to hearing from you soon. 

Dr Subhash Pokhrel