Demir, Eren, Chaussalet, Thierry J., 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 1471-678XFull text not available from this repository.
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.
|Subjects:||University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)|
|Depositing User:||Miss Nina Watts|
|Date Deposited:||30 May 2008 13:38|
|Last Modified:||12 Oct 2009 09:35|
Actions (login required)
|Edit Item (Repository staff only)|