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dc.contributor.authorDemir, Eren
dc.identifier.citationDemir , E 2009 , ' Modelling risk of readmission with phase-type distribution and transition models ' , IMA Journal of Management Mathematics , vol. 20 , no. 4 , pp. 357-367 .
dc.identifier.otherPURE: 563065
dc.identifier.otherPURE UUID: 1b6e21f4-511b-4c2a-9e31-7c149cee9961
dc.identifier.otherScopus: 72249111856
dc.description.abstractA patient with frequent past readmissions may have an increased risk of future readmission. The principal objective of this paper was to determine the risk of readmission, given individual patient's history of readmissions. First, we develop a modelling approach to systematically tackle the issue surrounding the appropriate choice of a time window which defines readmission. Discharged patients can be divided into two groups: a group at high risk of readmission and a group at low risk. Using national data (England), the estimated time window for chronic obstructive pulmonary disease is 38 days. Using this time window, we classify ‘high’ and ‘low’ risk of readmission groups. We use transition models to incorporate patients’ history of readmissions along with additional covariates. Solely using patients’ history of readmissions, the model has a receiver operating characteristic c statistic of 0.71, illustrating that such a simple model with no covariates has the potential of estimating risk of readmission.en
dc.relation.ispartofIMA Journal of Management Mathematics
dc.titleModelling risk of readmission with phase-type distribution and transition modelsen
dc.contributor.institutionStatistical Services Consulting Unit
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionSocial Sciences, Arts & Humanities Research Institute
dc.contributor.institutionHealth Services and Medicine
dc.contributor.institutionCentre for Research on Management, Economy and Society
dc.contributor.institutionDepartment of Marketing and Enterprise
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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