We invite applications for a funded PhD studentship in the Health Economics and Prioritisation Theme of the NIHR Applied Research Collaboration (ARC) East of England. Funding is jointly from the ARC (50%) and Faculty of Medicine and Health Sciences University of East Anglia (UEA).
The UEA-based studentship is for an outstanding early-stage researcher to conduct research relevant to health economics and prioritisation in health and social care (SC). The successful candidate will explore what and how data is routinely collected in SC, and approaches to optimising its use.
There is growing recognition of SC's pivotal role in caring for people, particularly as people live longer with multiple chronic conditions requiring both health AND SC interventions. SC resources are scarce: health economics (HE) highlights optimal resource use. However, economists need data. SC providers have increasing appetites to improve use of routinely-collected SC data, to deliver maximum benefit. This project will:
- Understand SC data availability;
- Explore facilitators/barriers to SC data use in HE;
- Conduct case studies exploring questions driven by routine SC data;
- Produce recommendations on optimising SC data use.
The successful applicant will collaborate with a multidisciplinary team of researchers and clinicians from UEA and the University of Cambridge, the Population Evidence and Data Science (PEDS) theme, and the wider ARC. The project aligns with our core research: 'making better use of existing data' - working with PEDS to utilise existing data for economic evaluations (EEs); and 'innovative methods' - developing and applying innovative EE methods. Comprehensive EE training will be provided. A HE background, SC familiarity, and, quantitative data experience, would be advantageous.
ARC and UEA offer a supportive environment for PhD students, with participation opportunities for workshops, conferences and seminars. Regular Postgraduate workshops host wide-ranging expert speakers.
Contact Professor Jennifer Whitty for further information.