Health Data Science: Fully Funded HCRW-NIHR PhD Studentship in Statistical Modelling in Multiple Long-Term Conditions for Healthcare Policy

Healthcare decision-making has previously focused on developing recommendations for single conditions. However, standardised care for each chronic condition in isolation can be inappropriate for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters of multiple long-term conditions resulting in increased risk of hospitalisations, polypharmacy and/or mortality using population-scale, linked, electronic health records from the Secure Anonymised Information Linkage (SAIL) Databank Wales Multimorbidity e-Cohort (Lyons et al, 2021). This approach will be extended to explore potential genetic, environmental, or demographic risk factors associated with cluster membership and/or the outcomes of interest. 

This PhD studentship is funded as part of the Re-thinking Health Policy in Multimorbidity (REMIT) project. The REMIT project aims to develop new methods to assess emerging treatments for people living with multiple long-term conditions. This project will utilise the SAIL Databank’s (https://saildatabank.com/) rich anonymised population-scale, individual-level, linked data sources to answer important population-level questions that will inform health technology assessment, policy, and practice. The successful PhD student will be embedded within an interdisciplinary team across academia and healthcare policy.  

Funding Comment 

This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (Currently £20,780 25/26) 

Closing Date: 16 May 2025

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