Our major clinical research aims are to:

  1. Describe the burden of symptoms and morbidity in primary care, in terms of prevalence, incidence, consultation patterns, their management and trends over time;
  2. Describe the most likely future outcome or course of health conditions;
  3. Predict and explain future outcomes or course of health conditions;
  4. Identify factors predicting benefit or harm from specific interventions.

The (applied) methodological aims are to:

  • Define phenotypes, exposures/prognostic factors and outcomes in EHR relevant to primary care;
  • Design optimal methods to investigate burden (incidence, prevalence, impact) of health conditions over time;
  • Investigate short and long-term trajectories of symptoms and health conditions (e.g. flares versus long-term outcomes), and how these can be used in the monitoring of chronic conditions and/or to predict long-term outcomes;
  • Investigate the use of prognostic information based on healthcare data (including incorporating brief additional ‘live’ data) in the consultation to monitor risk over time and support clinical decision making;
  • Investigate the benefits and harms of treatments using observational data, optimising methods to adjust for confounding and handling missing data.