2012
IWISH 2012 Proceeding
A comparison of system dynamics and Markov models for cost-effectiveness analysis of chronic diseases
Authors: Patrick Einzinger, Ruth Leskovar, Claudia Wytrzens
Abstract
To simulate chronic diseases Markov modeling is often used, but however the System Dynamics (SD) methodology is also applicable to this task. Both kinds of simulations can be used to analyse costs and effects of medical technologies for diseases. In this paper we perform an exemplary cost-effectiveness analysis for a smoking cessation programme for chronic obstructive pulmonary disease (COPD) patients with a simplified Markov model based on Menn (2009) as well as an analogue SD model. Such transformations from Markov models to SD models are always possible and lead to similar results. However, only the latter is of incorporating interactions between different patient groups.
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