Skip to main content
Log in

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

  • Published:
Health Care Management Science Aims and scope Submit manuscript

Abstract

As users of long term geriatric services occupy the beds for prolonged periods of time it is important that decision makers understand how clinical and social decisions interact to influence long term care costs. A flow modelling approach enables us to estimate current inpatient activity and to test different care options, thereby optimising decision making.

In previous work we developed a two compartment model of patient flows within a geriatric hospital, where patients are initially admitted to an acute or rehabilitative state from which they either are discharged or die or are converted to a long‐stay state. Long‐stay patients are discharged or die at a slower rate. This initial research discussed the use of a compartmental model to describe flows through the hospital system.

We now discuss a three compartment model where the compartments may be described as consisting of acute care, rehabilitation and long‐stay care. A Markov model is then used to count and cost the movements of geriatric patients within a hospital system. Such an approach enables health service managers and clinicians to assess performance and evaluate the effect of possible changes to the system. By attaching costs to various parts of the system we may facilitate the evaluation and comparison of different strategies and scenarios. Using the model, we show that a geriatric medical service that improved the acute management of in‐patients became more cost‐efficient. Hospital planners may thus identify cost‐effective options.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. D.J. Bartholomew, A.F. Forbes and S.I. McClean, Statistical Techniques for Manpower Planning, 2nd ed., Wiley, 1991.

  2. S. Cropper and P. Forte, eds., Enhancing Health Services Management: the Role of Decision Support Systems (Open University Press, Buckingham, 1997).

    Google Scholar 

  3. R.C. Davies, An assessment of models of a health system, Journal of the Operational Research Society 36 (1985) 679-687.

    Article  Google Scholar 

  4. Department of Health, Circular HSG (95/8): NHS Responsibilities for meeting continuing health care needs, London, 1995.

  5. G.W. Harrison and P.H. Millard, Balancing acute and long-stay care: the mathematics of throughput in departments of geriatric medicine, Methods of Information in Medicine 30 (1991) 221-228.

    Google Scholar 

  6. G.W. Harrison, Compartmental models of hospital patient occupancy patterns, in: Modelling Hospital Resource Use, eds. P.H. Millard and S.I. McClean (The Royal Society of Medicine Press, 1994) pp. 53- 61.

  7. R.A. Howard, Dynamic Probabilistic Systems, Vols. I and II (Wiley, New York, 1971).

    Google Scholar 

  8. V. Irvine, S. McClean and P. Millard, Stochastic models for geriatric in-patient behaviour, IMA Journal of Mathematics Applied in Medicine and Biology 11 (1993) 207-216.

    Google Scholar 

  9. R.K. Jain, A semi-Markov model for the average length of stay in transient states and its application, Computers and Biomedical Research 22 (1989) 209-214.

    Article  Google Scholar 

  10. E.P.C. Kao, Modelling the movement of coronary patients within a hospital by semi-Markov processes, Operations Research 22 (1974) 683-699.

    Article  Google Scholar 

  11. J.G. Kemeny and J.L. Snell, Finite Markov Chains (Wiley, New York, 1976).

    Google Scholar 

  12. M. Lagergren, ASIM - a system for monitoring and evaluation of the care of the elderly and disabled in a municipality, Health Service Research 28 (1993) 27-44.

    Google Scholar 

  13. S.I. McClean and P.H. Millard, Modelling in-patient bed usage behaviour in a department of geriatric medicine, Methods of Information in Medicine 32 (1993) 79-81.

    Google Scholar 

  14. S.I. McClean and P.H. Millard, Patterns of length of stay after admission in geriatric medicine: an event history approach, The Statistician 42 (1993) 263-274.

    Article  Google Scholar 

  15. S. McClean and P. Millard, A decision support system for bed-occupancy management and planning hospitals, IMA Journal of Mathematics Applied in Medicine and Biology 12 (1995) 249-257.

    Google Scholar 

  16. P.H. Millard, Throughput in a department of geriatric medicine: a problem of time, space and behaviour, Health Trends 24 (1991) 20-24.

    Google Scholar 

  17. P.H. Millard, Background to and potential benefits of flow modelling medical and social services for an ageing population, in: Go with the Flow: a Systems Approach to Health Care Planning, eds. P.H. Millard and S.I. McClean (The Royal Society of Medicine Press, 1996) pp. 95-110.

  18. J. Mitchell, K. Kafetz and B. Rossiter, Benefits of effective hospital services for elderly people, British Medical Journal 295 (1987) 980- 983.

    Article  Google Scholar 

  19. A. Parry, An age-related service revisited, in: Go with the Flow: a Systems Approach to Health Care Planning, eds. P.H. Millard and S.I. McClean (The Royal Society of Medicine Press, 1966) pp. 127- 130.

  20. G.J. Taylor, S.I. McClean and P.H. Millard, Geriatric patient flow rate modelling, IMA Journal of Mathematics Applied in Medicine and Biology 13 (1996) 297-307.

    Google Scholar 

  21. G.J. Taylor, S.I. McClean and P.H. Millard, Continuous time Markov models for geriatric patient behaviour, in: Proceedings of the 7th International Symposium on Applied Stochastic Models and Data Analysis, eds. J.J. Janssen and S.I. McClean, University of Ulster, 1995, pp. 582-590.

  22. G. Taylor, S. McClean and P. Millard, Continuous time Markov models for geriatric patient behaviour, Applied Stochastic Models and Data Analysis (1998) (forthcoming).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

McClean, S.I., Millard, P.H. A three compartment model of the patient flows in a geriatric department: a decision support approach. Health Care Management Science 1, 159–163 (1998). https://doi.org/10.1023/A:1019002804381

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1019002804381

Keywords

Navigation