Project Overview
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. The project 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.
Project Aims
1. Identify research gaps in treatment effect assessment using observational data in MLTC population.
2. Identify clusters of medications within MLTC population and their association on health outcome.
3. Examine natural disease history and treatment pathways and associated risk factors.
4. Evaluate treatment effectiveness in people with MLTC.
5. Investigate impact of health inequalities in treatment outcomes.
Period: 2026 – 2029