Identifying people with MLTC in unscheduled care in the last year of life
Supervisors:
Prof Colin McCowan, School of Medicine (University of St Andrews)
Prof Nazir Lone, Usher Institute (University of Edinburgh)
Dr Sarah Mills, School of Medicine (University of St Andrews)
Dr Kirsty Boyd, Usher Institute (University of Edinburgh)
Summary:
The overall aim of the studentship is to develop and evaluate the performance of a new digital screening tool that identifies people who may benefit from future care planning in unscheduled care settings and to compare this with existing tools. Proactive screening reduces inequity and enables more people with non-cancer illnesses, mixed physical/mental multimorbidity and socioeconomic deprivation to discuss their preferences and priorities for care with professionals.
The project will use unscheduled care datasets to develop and explore the performance of a new predictive tool to identify patients in the last year of life and to complier this against existing algorithms. Students will focus on external validation and improving the prediction models especially around for specific groups of patients of interest.
The studentship will provide training in epidemiology and statistics, and data science/prediction modelling.