Generating evidence for monitoring long term conditions
Longer life expectancy has also meant longer time spent ill with a chronic condition. To adequately manage a chronic condition requires the use of a monitoring strategy which helps determine if there has been any change. Conditions such as diabetes, hypertension, and chronic kidney disease use different measures/biomarkers as part of this monitoring strategy, but in some cases, the measures show high levels of variability. Understanding how this variability impacts on clinical decision-making is crucial to determine which measures to use and how often to measure.
In this seminar, Rafael will present some examples of research carried out in this area over the last ten years which includes results from systematic reviews, analysis of electronic patient records, qualitative evaluations and health economic models.
Professor Rafael Perera
Professor Perera's main focus is the study of monitoring for the management of long-term conditions. He is involved in many research programmes using a wide range of expertise to develop innovative methods of analysis and monitoring in primary and secondary research, including diabetes, oral anticoagulation therapy, hypertension, cardiovascular disease and chronic kidney disease.