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Visualising Acute Coronary Syndrome
In collaboration with medical researchers, software engineers and 3D computer visualisation experts, Dr. John McGhee is contributing to a critical area of research in coronary heart disease. As a leading cause of death in Australia, Scotland (UK) (where the project is based) and globally, the development of an intervention to reduce delay in treatment of Acute Coronary Syndrome (ACS) is of international relevance. The project will see the creation of 3D computer models of hearts to produce renders demonstrating the changes in the organ through the disease process. These video and image outputs will be used by health care professionals ot carry out further research activity and studies.
Acute Coronary Syndrome (ACS) is serious and delay to treatment, in particular patient decision time, is a critical factor in reducing mortality and achieving optimal benefit from current treatment strategies. Previous interventions to reduce patient decision time have been largely unsuccessful. However, most interventions have failed to incorporate relevant psychological theory or to use established behaviour change techniques (BCTs). We propose to develop a theory-based intervention by (i) identifying the content (i.e. BCTs) most likely to be effective, based on existing evidence (Systematic Review) and consensus amongst subject experts (Delphi study) and (ii) identifying the most effective way of delivering that content by comparing two modes of delivery (text only and text+visual) with a control in an intervention modelling experiment, measuring effect on intention to seek help immediately. Such an intervention has the potential to achieve significant reductions in mortality and morbidity for this group.
This project is in partnership with the University of Stirling, the University of Dundee, the University of Aberdeen and UNSW Australia.
Scheme: Chief Scientist Office, UK
Organisation name: Univeristy of Stirling
Application title: Development of Interventions to reduce patient delay with symptoms of Acute Coronary Syndrome: identifying optimal content and mode of delivery
Total amount of grant: GBP$221,668