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  Incorporating social preferences into public health policy decision-making using Multi-Criteria Decision Modelling


   School of Medicine and Population Health

  Prof A Tsuchiya, Prof Robin Purshouse  Monday, February 03, 2025  Funded PhD Project (UK Students Only)

About the Project

Traditional MDCM uses preferences elicited directly from the participating MCDM stakeholders within the MCDM process. These stakeholder preferences may or may not align with the social preferences that members of the public hold. However, there is often resistance from policy actor stakeholders to contribute their own preferences and judgements to the MCDM process. As a result, traditional MCDM is not used as often as it might otherwise be.

One possibility is to use preferences elicited from members of the public taking a social perspective as citizens (as opposed to a personal perspective as private consumers) and to develop a new protocol to incorporate these into a formal MCDM process. This PhD will explore the possibility of such an approach and test it in a real-world case study.

Aim and Objectives

Aim: to explore methods of incorporating public preferences into public health policy decision making using Multi-Criteria Decision Modelling

Objectives:

  • Review and assess how decision support tools based on traditional MCDM could be adapted to incorporate pre-existing public preferences external to the MCDM stakeholders
  • Design new or adapted MCDM protocol or methods to do so
  • Apply these to relevant problem in public health

Funding source: Division of Population Health (previously ScHARR) matched funding towards the Policy Modelling for Health project of the Population Health Improvement UK Network (PHI-UK)

Supervisors:

Robin Purshouse: https://www.sheffield.ac.uk/eee/people/academic-staff/robin-purshouse

Aki Tsuchiya: https://www.sheffield.ac.uk/economics/staff/academic/aki-tsuchiya

How to apply:

Please complete a University Postgraduate Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply

Please clearly state the title of the studentship, the main supervisor (Aki Tsuchiya) and select ‘School of Medicine and Population Health' as the department.

You will also need to include:

  • a draft outline of your proposed PhD study, in line with the research themes described above, of approximately 500 words
  • a covering letter explaining why you wish to apply for this studentship.
  • a copy of your CV. 
  • a good master’s degree (merit or distinction) in operational research, quantitative psychology, economics, engineering, or related field.

Start date: 1st October 2025

Economics (10) Engineering (12) Mathematics (25) Psychology (31)

Funding Notes

The award will cover academic fees at the UK rate plus a maintenance stipend for 3.5 years. Overseas applicants are welcome to apply but would need to provide the shortfall between the home and overseas fees.


References

Barinaga-Rementeria, I.; Erauskin-Tolosa, A.; Lozano, P.J.; Latasa, I. Individual and Social Preferences in Participatory Multi-Criteria Evaluation. Sustainability 2019, 11, 5746. https://doi.org/10.3390/su11205746
Gu, Y., Lancsar, E., Ghijben, P., Butler, J. R., & Donaldson, C. (2015). Attributes and weights in health care priority setting: a systematic review of what counts and to what extent. Social Science & Medicine, 146, 41-52. https://www.sciencedirect.com/science/article/abs/pii/S0277953615301477
McNamara, S., Holmes, J., Stevely, A. K., & Tsuchiya, A. (2020). How averse are the UK general public to inequalities in health between socioeconomic groups? A systematic review. The European Journal of Health Economics, 21(2), 275-285. https://link.springer.com/article/10.1007/s10198-019-01126-2
Purshouse, Robin C; McAlister, John; Multi-objective optimisation for social cost benefit analysis: An allegory, Proceedings of the Seventh International Conference on Evolutionary Multi-Criterion Optimization, 2013, 726-740.
Wild Thomas B., Reed Patrick M., Loucks Daniel P., Mallen-Cooper Martin, Jensen Erland D. Balancing Hydropower Development and Ecological Impacts in the Mekong: Tradeoffs for Sambor Mega Dam. Journal of Water Resources Planning and Management 2019;145(2). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001036
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