Choice Experiments for Health Economics, HTA & One Health

Photo of health care professional working at laptop with stethoscope

This course introduces the fundamentals of discrete choice experiment (DCE) methods and how they can be implemented as a quantitative ex ante approach to investigate people’s stated preferences among alternative health-care interventions, services or policies. Choice experiments can be used within economic evaluation to value impacts and outcomes which, due to prevailing market failure, means that typical economic valuation methods such as revealed values are not possible. This course will provide students the foundations needed to design, administer, and analyse a DCE from beginning to end.

Course dates: 9th January - 10th February 2023

Online Distance Learning (ODL)

Non-accredited, but with a certificate of attendance

Course coordinators: Professor Emma McIntosh & Dr Sergi Alonso

Course aims

This course aims to provide students with the foundations necessary to conceptualise, design, administer and analyse a DCE. This course will foster students’ understanding of the concepts and mechanisms of DCEs. Moreover, this module is intended to impart the basic technical knowledge and statistical software skills required for the design, implementation and analysis of choice experiments.

ILOs:

  • Demonstrate a critical overview of what choice experiments are, what purposes they serve within economic evaluation and understand how they are implemented.
  • Describe applications of choice experiments at the forefront of health, environmental and One Health economics;
  • Identify appropriate attributes for a choice experiment in a specialised context;
  • Conceptualise different experimental designs and their importance for statistical and behavioural efficiency objectives;
  • Construct and arrange a choice experiment dataset which could be implemented in a real world context;
  • Critically analyse choice experiment data using conditional logit models, latent class models, mixed (random parameters) logit models, for utility and welfare analysis;
  • Interpret and effectively communicate the outputs of a choice experiment to a diverse audience;
  • Offer original insights and informed judgements regarding the outcomes of an intervention, service or policy, by applying insights from choice experiment analysis;
  • Critically evaluate the strengths and weaknesses of choice experiments as a methodology.

 

Course Structure

Five-week online course comprising five lectures and accompanying practical exercises. The lectures will be 45min/1hr in duration and exercises associated with lectures will take a notional two hours for the participants to complete. Each week the academic lead will be responsible for monitoring and contributing to the discussion board. The exercise solutions will be posted on moodle the following week.  

Registration & Fees

£330 for low- and middle-income countries (LMICs)

£350 for public/academic sector delegates

£550 for commercial/private sector

Email shw-hehta@glasgow.ac.uk to register for this course