Exploring socio-economic and geographic variation in care pathways and their resulting health and economic outcomes for older populations
Dr F Darlington-Pollock
Dr C Giebel
Dr M Green
Dr A Akpan
No more applications being accepted
Competition Funded PhD Project (European/UK Students Only)
Research project: In an era of austerity and widening health inequalities, the effective targeting and uptake of services is essential to minimise additional cost and care burdens in health and social care. This is particularly pertinent to older populations who, with population ageing, place increasing demand on already strained services. This project will identify differences in patient pathways within statutory and community care for older adults, both in terms of their trajectory through care and how these trajectories produce different health and economic outcomes. It will then examine the socio-economic and geographic determinants of these contrasting pathways. The key output for this research will be the development of a predictive algorithm using machine learning techniques to predict the optimal pathway for individuals to take through the healthcare system, and thereby identify possible routes that will minimise negative outcomes and help to personalise care.
Public involvement will form an important part of this project, by having a former patient of an older people community service on the project team, and by engaging existing older adult public support groups and services (e.g. Age UK) throughout the project. In addition to having the public voice included, this project will also benefit from a multi-disciplinary academic and clinical supervisory team, with existing links to external organisations, including relevant NHS Trusts, CCGs, and third sector organisations.
For more details on the research project please contact the supervisors:
Dr Frances Darlington-Pollock (Geography & Planning) [Email Address Removed]
Dr Clarissa Giebel (Health Services Research) [Email Address Removed]
Dr Mark Green (Geography & Planning) [Email Address Removed]
Please apply by sending CV and letter of application to Ms Diane Ashton [Email Address Removed]
Training: The University of Liverpool is setting up a Doctoral Network in Technologies for Healthy Ageing to train the next generation of physical scientists and engineers to develop novel technologies and devices to address the challenges faced by older people and our clinical colleagues who work with them. It is structured around three healthy ageing challenges; prolonging independence, maintaining wellness and accelerating recovery.
All students will undertake a specific training programme in conjunction with their research project. A range of training modules have been designed to provide the student cohort with the high levels of scientific knowledge and engineering expertise needed for research and development of devices and technologies appropriate for the Healthy Ageing agenda. Through this approach our students will learn skills that will provide them with a unique advantage to develop technologies appropriate for this community and significantly enhance their employability in this emerging field. At the start of the programme students will have a masterclass session with a consultant in clinical geriatric medicine, a therapist and a social worker to introduce them to the challenges of the older person in the community through case studies. Each student will spend a week with a Consultant Geriatrician in clinics and community visits. This clinician will remain in contact with the student throughout their PhD in the role of a mentor to maintain the interface between their projects and the healthcare challenges. Innovative training sessions will ensure the training and research is grounded in real world challenges and have been constructed to provide Essential Transferable Skills and Subject Broadening Skills. The student will be a member of the Liverpool Doctoral College which provides further training opportunities over all three years of the PGR programme, and includes Inductions (general and safety), E-learning (e.g. Good Research Practice), seminars (presenting as well as attending), outreach opportunities and journal clubs.
Studentships will be funded for 3.5 years covering the home fees and typical Research Council stipend.
Research Council Doctoral stipend levels and indicative fees for 2019
• National Minimum Doctoral Stipend for 2019/20 is £15,009
• Research Councils UK Indicative Fee Level for 2019/20 is £4,327