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dc.contributor.authorPapadopoulou, Aleka A.-
dc.contributor.authorTsaklidis, George-
dc.contributor.authorMcClean, Sally-
dc.contributor.authorGarg, Lalit-
dc.date.accessioned2017-12-20T13:57:47Z-
dc.date.available2017-12-20T13:57:47Z-
dc.date.issued2012-
dc.identifier.citationPapadopoulou, A. A., Tsaklidis, G., McClean, S., & Garg, L. (2012). On the moments and the distribution of the cost of a semi Markov model for healthcare systems. Methodology and Computing in Applied Probability, 14(3), 717-737.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/24958-
dc.description.abstractIn this paper we extend our previous semi-Markov reward model which attached costs to duration in states, by including costs of making a transition from one state to another. Theoretical results concerning the moments and consequently the distribution of interval costs for every member and of the total cost per unit period at any time and also through time intervals are obtained and provided in analytic form for the semi Markov reward model with discounting. The results are applied to an open healthcare system. In the healthcare domain such transition costs allow us to evaluate the overall costs of therapy or clinical intervention where an operation or other treatment may be an option. This model can be used for strategic approaches to planning and evaluating long-term patient care. The results demonstrate the potential of the model to demonstrate differential costs of different therapeutic strategies and explore optimal solutions.en_GB
dc.language.isoenen_GB
dc.publisherSpringer New York LLCen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectMedical careen_GB
dc.subjectMarkov processesen_GB
dc.subjectCost accountingen_GB
dc.titleOn the moments and the distribution of the cost of a semi Markov model for healthcare systemsen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1007/s11009-011-9260-9-
dc.publication.titleMethodology and Computing in Applied Probabilityen_GB
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