We will integrate patient-level death registration data and area-level service data, collected in completed projects. 

We will examine primary outcomes, such as place of death, and secondary outcomes, such as the underlying and contributory causes of death in acute or social care use at end of life, such as unplanned hospitalisation. 

We will use geographical information systems to explore geographical patterns of multimorbidity, service utilisation, health and social care costs, and place of death. 

We will then use multilevel modelling to evaluate the relationships between these factors. 

Proposed outputs and impacts:

  • Understand clusters and impacts of multimorbidity in palliative and end of life care on health and social care use, where people die and care costs, for the first time
  • Improved access to cost-effective palliative and end of life care with reduced local and national variation in quality