Literature DB >> 21695521

Costing hospital resources for stroke patients using phase-type models.

Jennifer Gillespie1, Sally McClean, Bryan Scotney, Lalit Garg, Maria Barton, Ken Fullerton.   

Abstract

Optimising resources in healthcare facilities is essential for departments to cope with the growing population's requirements. An aspect of such performance modelling involves investigating length of stay, which is a key performance indicator. Stroke disease costs the United Kingdom economy seven billion pounds a year and stroke patients are known to occupy long periods of time in acute and long term beds in hospital as well as requiring support from social services. This may be viewed as an inefficient use of resources. Thrombolysis is a therapy which uses a clot-dispersing drug which is known to decrease the institutionalisation of eligible stroke patients if administered 3 h after incident but it is costly to administer to patients. In this paper we model the cost of treating stroke patients within a healthcare facility using a mixture of Coxian phase type model with multiple absorbing states. We also discuss the potential benefits of increasing the usage of thrombolysis and if these benefits balance the expense of administering the drug.

Entities:  

Mesh:

Year:  2011        PMID: 21695521     DOI: 10.1007/s10729-011-9170-y

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  16 in total

1.  A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system.

Authors:  Lalit Garg; Sally McClean; Brian Meenan; Peter Millard
Journal:  Health Care Manag Sci       Date:  2010-06

2.  Markov chain modelling for geriatric patient care.

Authors:  M J Faddy; S I McClean
Journal:  Methods Inf Med       Date:  2005       Impact factor: 2.176

3.  Stochastic bed balancing of an obstetrics hospital.

Authors:  Jeffery K Cochran; Aseem Bharti
Journal:  Health Care Manag Sci       Date:  2006-02

4.  A model-based approach to the analysis of patterns of length of stay in institutional long-term care.

Authors:  Haifeng Xie; Thierry J Chaussalet; Peter H Millard
Journal:  IEEE Trans Inf Technol Biomed       Date:  2006-07

5.  Using Coxian phase-type distributions to identify patient characteristics for duration of stay in hospital.

Authors:  Adele H Marshall; Sally I McClean
Journal:  Health Care Manag Sci       Date:  2004-11

6.  Implications of mixed exponential occupancy distributions and patient flow models for health care planning.

Authors:  G W Harrison
Journal:  Health Care Manag Sci       Date:  2001-02

7.  Using a continuous time hidden Markov process, with covariates, to model bed occupancy of people aged over 65 years.

Authors:  G Christodoulou; G J Taylor
Journal:  Health Care Manag Sci       Date:  2001-02

8.  A three compartment model of the patient flows in a geriatric department: a decision support approach.

Authors:  S I McClean; P H Millard
Journal:  Health Care Manag Sci       Date:  1998-10

9.  Addressing bed costs for the elderly: a new methodology for modelling patient outcomes and length of stay.

Authors:  Adele H Marshall; Sally I McClean; Peter H Millard
Journal:  Health Care Manag Sci       Date:  2004-02

10.  Dynamic compartmental model of trends in Australian drug use.

Authors:  Jonathan P Caulkins; Paul Dietze; Alison Ritter
Journal:  Health Care Manag Sci       Date:  2007-06
View more
  2 in total

1.  Exploring the impact of intravenous thrombolysis on length of stay for acute ischemic stroke: a retrospective cohort study.

Authors:  Ling-Chien Hung; Ya-Han Hu; Sheng-Feng Sung
Journal:  BMC Health Serv Res       Date:  2015-09-23       Impact factor: 2.655

2.  Modelling mortality and discharge of hospitalized stroke patients using a phase-type recovery model.

Authors:  Bruce Jones; Sally McClean; David Stanford
Journal:  Health Care Manag Sci       Date:  2018-05-01
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.