The development of a simulation model of the treatment of coronary heart disease.
A discrete event simulation models the progress of patients who have had a coronary event, through their treatment pathways and subsequent coronary events. The main risk factors in the model are age, sex, history of previous events and the extent of the coronary vessel disease. The model parameters are based on data collected from epidemiological studies of incidence and prognosis, efficacy studies. national surveys and treatment audits. The simulation results were validated against different sources of data. The initial results show that increasing revascularisation has considerable implications for resource use but has little impact on patient mortality.
Cooper
Keith
K
School of Management, University of Southampton, UK.
Davies
Ruth
R
Roderick
Paul
P
Chase
Debbie
D
Raftery
James
J
D000368:Aged; D000369:Aged, 80 and over; D003198:Computer Simulation; D003327:Coronary Disease / Q000628:therapy*; D020000:Decision Support Systems, Clinical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D012017:Referral and Consultation