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Emergency and on-demand health care: modelling a large complex system

Author

Listed:
  • S C Brailsford

    (University of Southampton)

  • V A Lattimer

    (School of Nursing and Midwifery, University of Southampton)

  • P Tarnaras

    (University of Southampton)

  • J C Turnbull

    (School of Nursing and Midwifery, University of Southampton)

Abstract

This paper describes how system dynamics was used as a central part of a whole-system review of emergency and on-demand health care in Nottingham, England. Based on interviews with 30 key individuals across health and social care, a ‘conceptual map’ of the system was developed, showing potential patient pathways through the system. This was used to construct a stock-flow model, populated with current activity data, in order to simulate patient flows and to identify system bottle-necks. Without intervention, assuming current trends continue, Nottingham hospitals are unlikely to reach elective admission targets or achieve the government target of 82% bed occupancy. Admissions from general practice had the greatest influence on occupancy rates. Preventing a small number of emergency admissions in elderly patients showed a substantial effect, reducing bed occupancy by 1% per annum over 5 years. Modelling indicated a range of undesirable outcomes associated with continued growth in demand for emergency care, but also considerable potential to intervene to alleviate these problems, in particular by increasing the care options available in the community.

Suggested Citation

  • S C Brailsford & V A Lattimer & P Tarnaras & J C Turnbull, 2004. "Emergency and on-demand health care: modelling a large complex system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 34-42, January.
  • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:1:d:10.1057_palgrave.jors.2601667
    DOI: 10.1057/palgrave.jors.2601667
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    References listed on IDEAS

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    1. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    2. D C Lane & C Monefeldt & J V Rosenhead, 2000. "Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(5), pages 518-531, May.
    3. J R P Townshend & H S Turner, 2000. "Analysing the effectiveness of Chlamydia screening," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(7), pages 812-824, July.
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