IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v55y2004i1d10.1057_palgrave.jors.2601667.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601667
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2601667?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. R Ceglowski & L Churilov & J Wasserthiel, 2007. "Combining Data Mining and Discrete Event Simulation for a value-added view of a hospital emergency department," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 246-254, February.
    2. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    3. Alberto Sardi & Enrico Sorano, 2019. "Dynamic Performance Management: An Approach for Managing the Common Goods," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    4. Bowers, John & Mould, Gillian, 2004. "Managing uncertainty in orthopaedic trauma theatres," European Journal of Operational Research, Elsevier, vol. 154(3), pages 599-608, May.
    5. S Vanderby & M W Carter, 2010. "An evaluation of the applicability of system dynamics to patient flow modelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(11), pages 1572-1581, November.
    6. A Fletcher & D Halsall & S Huxham & D Worthington, 2007. "The DH Accident and Emergency Department model: a national generic model used locally," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1554-1562, December.
    7. T Eldabi & R J Paul & T Young, 2007. "Simulation modelling in healthcare: reviewing legacies and investigating futures," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 262-270, February.
    8. R Ashton & L Hague & M Brandreth & D Worthington & S Cropper, 2005. "A simulation-based study of a NHS Walk-in Centre," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 153-161, February.
    9. Mohammad Reza Davahli & Waldemar Karwowski & Redha Taiar, 2020. "A System Dynamics Simulation Applied to Healthcare: A Systematic Review," IJERPH, MDPI, vol. 17(16), pages 1-27, August.
    10. Adrian Fletcher & Dave Worthington, 2009. "What is a ‘generic’ hospital model?—a comparison of ‘generic’ and ‘specific’ hospital models of emergency patient flows," Health Care Management Science, Springer, vol. 12(4), pages 374-391, December.
    11. Thomas Rohleder & Diane Bischak & Leland Baskin, 2007. "Modeling patient service centers with simulation and system dynamics," Health Care Management Science, Springer, vol. 10(1), pages 1-12, February.
    12. Yong-Hong Kuo & Omar Rado & Benedetta Lupia & Janny M. Y. Leung & Colin A. Graham, 2016. "Improving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 120-147, June.
    13. A. Sardi & E. Sorano, 2021. "Dynamic Performance Management: An Approach for Managing the Common Goods," Papers 2102.04090, arXiv.org.
    14. David C. Lane & Özge Pala & Yaman Barlas & Lambertus P. J. Nistelrooij & Etiënne A.J.A. Rouwette & Ilse M. Verstijnen & Jac A.M. Vennix, 2015. "The Eye of the Beholder: A Case Example of Changing Clients' Perspectives Through Involvement in the Model Validation Process," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(4), pages 437-449, July.
    15. Bohui Liang & Ayten Turkcan & Mehmet Erkan Ceyhan & Keith Stuart, 2015. "Improvement of chemotherapy patient flow and scheduling in an outpatient oncology clinic," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7177-7190, December.
    16. Lixiang Jiang & Ronald Giachetti, 2008. "A queueing network model to analyze the impact of parallelization of care on patient cycle time," Health Care Management Science, Springer, vol. 11(3), pages 248-261, September.
    17. Mielczarek, Bożena, 2014. "Simulation modelling for contracting hospital emergency services at the regional level," European Journal of Operational Research, Elsevier, vol. 235(1), pages 287-299.
    18. Eren Demir & Christos Vasilakis & Reda Lebcir & David Southern, 2015. "A simulation-based decision support tool for informing the management of patients with Parkinson’s disease," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7238-7251, December.
    19. Kaya, Onur & Teymourifar, Aydin & Ozturk, Gurkan, 2020. "Analysis of different public policies through simulation to increase total social utility in a healthcare system," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    20. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorsoc:v:55:y:2004:i:1:d:10.1057_palgrave.jors.2601667. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.