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
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
PURPOSE: A Markov chain Monte Carlo simulation model was developed to analyse and forecast the numb...
Cardiovascular diseases are the number one cause of death globally, but their optimal prevention re...
This paper describes the present state of development of a discrete-event micro-simulation model for...
A discrete event simulation model of the patient pathways in the treatment of coronary heart disease...
A discrete event simulation model of the patient pathways in the treatment of coronary heart disease...
This article reviews models for the treatment of coronary heart disease (CHD). Whereas most of the m...
This study provides a new Markov simulation model for requirements of coronary artery revascularizat...
This dissertation presents a comparison of modelling techniques for evaluating healthcare interventi...
Numerous local interventions for cardiovascular disease are available, but resources to deliver them...
We propose and assess a simulation model for the analysis of patients pathways and the delivery of m...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
Background. Treatments for coronary heart disease (CHD) have evolved rapidly over the last 15 years ...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
PURPOSE: A Markov chain Monte Carlo simulation model was developed to analyse and forecast the numb...
Cardiovascular diseases are the number one cause of death globally, but their optimal prevention re...
This paper describes the present state of development of a discrete-event micro-simulation model for...
A discrete event simulation model of the patient pathways in the treatment of coronary heart disease...
A discrete event simulation model of the patient pathways in the treatment of coronary heart disease...
This article reviews models for the treatment of coronary heart disease (CHD). Whereas most of the m...
This study provides a new Markov simulation model for requirements of coronary artery revascularizat...
This dissertation presents a comparison of modelling techniques for evaluating healthcare interventi...
Numerous local interventions for cardiovascular disease are available, but resources to deliver them...
We propose and assess a simulation model for the analysis of patients pathways and the delivery of m...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
Background. Treatments for coronary heart disease (CHD) have evolved rapidly over the last 15 years ...
Objectives: Developing and validating a discrete event simulation model that is able to model patien...
PURPOSE: A Markov chain Monte Carlo simulation model was developed to analyse and forecast the numb...
Cardiovascular diseases are the number one cause of death globally, but their optimal prevention re...