We have previously used Markov models to describe movements of patients between hospital states. The distribution of costs at any time and in a given time interval were also previously evaluated and expressions found for the corresponding means and variances. In this paper we extend our previous model to a system that includes on-off costs of making a transition from one state to another; previously costs were per day for the appropriate state. Such transition costs allow us to evaluate the overall costs of therapy or a clinical intervention where an operation or other intervention may be an option. This model can be used to determine costs for the entire system for different strategies thus facilitating a systems approach to the planning of healthcare and a holistic approach to costing. Such models can also help us to assess the complex relationship between hospital and community care where there may be possible trade-offs between hospital treatment costs and community care costs. Such a scenario is commonly encountered in stroke disease where care may include a long period of rehabilitation or residence in a nursing home. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Mcclean, S., Garg, L., Barton, M., Fullerton, K., & Millard, P. (2009). Using markov systems to plan stroke services. Studies in Computational Intelligence, 189, 241–256. https://doi.org/10.1007/978-3-642-00179-6_15
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