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Modelling risk of readmission with phase-type distribution and transition models

Demir, Eren and Chaussalet, Thierry J. and Xie, Haifeng and Millard, Peter H. (2009) Modelling risk of readmission with phase-type distribution and transition models. IMA Journal of Management Mathematics, 20 (4). pp. 357-367. ISSN 1471-678X

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Official URL: http://dx.doi.org/10.1093/imaman/dpn032


A 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.

Item Type:Article
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:4946
Deposited On:30 May 2008 14:38
Last Modified:12 Oct 2009 10:35

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