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  NIHR Leeds BRC: Using early simulation modelling to estimate the health care system impact of new technologies and inform technology development


   Faculty of Medicine and Health

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  Dr Armando Vargas-Palacios, Dr David Meads, Prof Hemant Pandit  No more applications being accepted  Competition Funded PhD Project (UK Students Only)

About the Project

Evidencing the value of new technologies is an important step in securing market access and allowing patients to benefit from innovations. Decision modelling is a flexible framework to enable this value estimation and can be conducted early in the translational pathway. Early decision modelling can be used to inform target product profiles, maximum justifiable price and inform decisions on the target population, technology development and priorities for research. However, decision modelling often tends to focus on estimating costs and outcomes in a healthcare system where resources (i.e. staff and facilities) are assumed to be unconstrained. Decision modelling also seldom accounts for the real-time interaction of patients and health care resources. 

These modelling assumptions can mis-specify the costs and benefits of biomedical technology innovations and do not inform on their impact on the system and other patients within it. Using a standard early modelling approach, benefits of innovations that specifically target system improvements (e.g. faster diagnosis, reduced surgery theatre time and early discharge) may not be captured. This PhD studentship will review previous research using early simulation modelling and conduct several case studies based on BRC technologies, examining the opportunities and challenges of using this approach early in the innovation pathway. Challenges are likely to include model parameterisation when little data is available for the new technology and communicating the model outputs in a non-technical way to health care professionals and payers. 

The student will gain skills in: systematic reviewing; analysis of large, routine health databases; data generation techniques (e.g. through expert elicitation); simulation model building and validation; and critical appraisal of regulatory and market access requirements in the UK.

Entry Requirements and How to Apply

For more details about this project and how to apply please visit our website.

If you would like further information after visiting our website please contact Dr Armando Vargas-Palacios for project specific queries

e: [Email Address Removed]

or the Faculty Admissions Team for help with the application process

e: [Email Address Removed]

To support the application process or if you want to know more about our non-clinical PhDs a recording of our 2023 webinar can be found via the links below

**The deadline dates in the webinar are out of date but are correct in the stand-alone slide deck**

NIHR Leeds BRC Non Clinical PhD Scheme webinar - YouTube

with a copy of the slide deck used at

 Leeds BRC Non Clinical PhD Webinar FINAL updated slide deck March 24 - YouTube

Economics (10) Mathematics (25) Medicine (26)

Funding Notes

The scholarship will provide academic fees at the UK rate, as well as a stipend of £18,622 (based on the 2023/24 stipend rate, pro-rata for part time study) for up to three years (full time study or five years part time) and is available for UK applicants only. Due to limited funding we can only consider applicants eligible to pay academic fees at the UK fee rate.

Where will I study?