Overview
Scholarship type
Number of scholarships to award
Grant
Scholarship coverage
- tuition fee reduction
- other
Description
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 multiple long-term conditions using population-scale, linked, electronic health records from the Secure Anonymised Information Linkage (SAIL) Databank Wales Multimorbidity e-Cohort.
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 people with multiple long-term conditions, and assess potential health inequalities.
Applicable programmes
Benefits
This scholarship covers the full cost of tuition fees and an annual stipend of £19,237.
Additional research expenses will also be available.
Eligibility
- Candidates must hold an Upper Second Class (2.1) honours degree.
- Candidates 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.
- If you are eligible to apply for the scholarship but do not hold a UK degree, you can check their comparison entry requirements.
- Please note that you may need to provide evidence of your English Language proficiency.
- This scholarship is open to candidates of any nationality.
Scholarship requirements
Disciplines
Locations
Nationality
Study experience required
Age
Application
Application deadline
To apply, please complete your application online with the following information:
Course choice – please select Population and Health Data Science / PhD / Full-time / 3 Year / October
Start year – please select 2024
Funding (page 8) –
‘Are you funding your studies yourself?’ – please select No
‘Name of Individual or organisation providing funds for study’ – please enter ‘RS600 - Health Technology Assessment'
*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.