This article reviews models for the treatment of coronary heart disease (CHD). Whereas most of the models described were developed to assess the cost effectiveness of different treatment strategies, other models have also been used to extrapolate clinical trials, for capacity and resource...

Aim/ principal research question:To develop a discrete-event simulation model to evaluate the cost-effectiveness of population screening for H. pylori in England and Wales to prevent both gastric cancer and peptic ulcer disease.Factors of interest:Screening for H. pylori.Methods:A model was...

In using discrete event simulation for planning services in the health sector, epidemiologists and clinicians were closely involved in model design, data collection, analysis, validation and experimentation. For patients with diabetes, loss of sight can be prevented by timely treatment if...

Aims: To develop a model for evaluating screening strategies and to use it to determine the cost effectiveness of varying the screening method and the screening interval.Methods: A discrete event simulation was designed, validated and run for a population of 500 000. Most parameters were derived...

Economic evaluation, such as cost effectiveness analysis, provides a method for comparing healthcare interventions. These evaluations often use modelling techniques such as decision trees, Markov processes and discrete event simulations (DES). With the aid of examples from coronary heart...