PhD Studentship – Use of Real-World Evidence in Health Technology Assessment for Multimorbidity.
Based at Swansea University Medical School with visiting PhD student status at the Department of Statistics University of Warwick, UK
Funded for 3 years by Health Data Research UK (HDR UK) Medicines in Acute and Chronic Care Driver Programme
Closing date: 17th July 2023.
Start date: 1 October 2023.
Project Summary:
Healthcare decision-making has previously focussed 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 modelling framework to estimate the natural history of disease in individuals living with multimorbidity using population-scale, linked, electronic health records from the Secure Anonymised Information Linkage (SAIL) Databank Wales Multimorbidity e-Cohort (Owen et al, 2023<https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(23)00098-1/fulltext>, and Lyons et al, 2021<https://bmjopen.bmj.com/content/11/1/e047101>). This approach will allow estimation of the potential adverse effects (such as hospitalisations) of drug-on-drug interactions for the treatment of multiple conditions and associated genetic, environmental, or demographic risk factors. Further this PhD project will compare the efficacy of different combinations of treatments used in multimorbid populations, and assess potential health inequalities.
Supervisory team:
Dr Rhiannon Owen (Swansea), Professor Hamish Laing (Swansea), Professor Keith Abrams (Warwick). Multi-institutional supervision across Swansea University Medical School and the Department of Statistics, University of Warwick. The studentship will be hosted at Swansea University with visiting PhD student status at the University of Warwick, benefiting from the stimulating and supportive environments and bespoke training programmes.
Eligibility:
Applicants will need an MSc in Statistics/Biostatistics or Epidemiology/Health Data Science (with a strong analytical component) plus programming and data analysis skills/experience in R and/or Python. Experience of analysing large-scale linked electronic health record data and knowledge of Bayesian methods would be an advantage.
Benefits include:
* Tax-free stipend of £18,622 based on UKRI advertised rates
* Fully-paid tuition fees
* Research & training costs
* Expenses and travel costs for conferences and events
* Students will receive excellent training and career development opportunities in an environment that nurtures team science.
Informal enquiries are welcome and should be directed to Dr Rhiannon Owen on [log in to unmask]<mailto:[log in to unmask]> or Professor Keith Abrams on [log in to unmask]<mailto:[log in to unmask]>.
Further details including the application process can be found at https://www.swansea.ac.uk/postgraduate/scholarships/research/medical-health-care-studies-hdr-phd-use-2023-rs390.php
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