Investigating the impact of interventions on social care: a quantitative approach using data linkage and joint modelling
Aims:
We aim to address a gap in the methodologies deployed in the field of social-care and health research. We will achieve this by developing a data-intensive technique that will be applied to important questions in social care and health research.
Our technique will enable us to analyse the dependency between interventions, healthcare and subsequent social-care needs over time. By modelling the impact over time, our technique will provide better targeted, efficient and more effective interventions that are designed to reduce social-care needs and improve health outcomes.
We will facilitate our technique using anonymised routinely collected data, and we will create crucial statistical evidence to influence policy and inform decision-making.
Research questions:
We aim to answer a wide range of research questions including:
- By how much do health events recorded in a General Practice (GP) relate to an increased need for social care?
- Can interventions before or after healthcare events prolong the time someone can live safely and independently in their own home?
- Can the early identification of a culmination of symptoms over time prolong life?