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Using Coxian phase-type distributions to identify patient characteristics for duration of stay in hospital.
Marshall, Adele H; McClean, Sally I.
Affiliation
  • Marshall AH; Department of Applied Mathematics and Theoretical Physics, David Bates Building, Queen's University of Belfast, Belfast, Northern Ireland, BT7 1NN, UK. a.h.marshall@qub.ac.uk
Health Care Manag Sci ; 7(4): 285-9, 2004 Nov.
Article in En | MEDLINE | ID: mdl-15717813
Coxian phase-type distributions are a special type of Markov model that describes duration until an event occurs in terms of a process consisting of a sequence of latent phases. This paper considers the use of Coxian phase-type distributions for modelling patient duration of stay for the elderly in hospital and investigates the potential for using the resulting distribution as a classifying variable to identify common characteristics between different groups of patients according to their (anticipated) length of stay in hospital. The identification of common characteristics for patient length of stay groups would offer hospital managers and clinicians possible insights into the overall management and bed allocation of the hospital wards.
Subject(s)
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Collection: 01-internacional Database: MEDLINE Main subject: Proportional Hazards Models / Inpatients / Length of Stay Type of study: Prognostic_studies Limits: Aged / Humans Country/Region as subject: Europa Language: En Journal: Health Care Manag Sci Journal subject: SERVICOS DE SAUDE Year: 2004 Document type: Article Country of publication: Netherlands
Search on Google
Collection: 01-internacional Database: MEDLINE Main subject: Proportional Hazards Models / Inpatients / Length of Stay Type of study: Prognostic_studies Limits: Aged / Humans Country/Region as subject: Europa Language: En Journal: Health Care Manag Sci Journal subject: SERVICOS DE SAUDE Year: 2004 Document type: Article Country of publication: Netherlands