Work Package 1: Developing a Risk Score for Cardiovascular Disease in People with Severe Mental Illnesses

We are using contemporary statistical methods to explore ways of predicting who is most at risk of cardiovascular disease, among those with severe mental illness. The research is being carried out using data from The Health Improvement Network (THIN) primary care database. This database comprises information on almost 10 million patients from over 500 contributing general practices. Longitudinal data can be extracted for each patient over the period within which they remain registered at a THIN practice. The data includes all medical diagnoses and symptoms recorded by the GP, all prescriptions made, other health data such as blood pressure recordings and lab test results, and basic socio-demographic information. We hope the results will help clinicians to provide better preventative care for people with severe mental illnesses.