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Combining discrete-event simulation and system dynamics in a healthcare setting: A composite model for Chlamydia infection

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  • Viana, J.
  • Brailsford, S.C.
  • Harindra, V.
  • Harper, P.R.

Abstract

This paper presents a composite model in which two simulation approaches, discrete-event simulation (DES) and system dynamics (SD), are used together to address a major healthcare problem, the sexually transmitted infection Chlamydia. The paper continues an on-going discussion in the literature about the potential benefits of linking DES and SD. Previous researchers have argued that DES and SD are complementary approaches and many real-world problems would benefit from combining both methods. In this paper, a DES model of the hospital outpatient clinic which treats Chlamydia patients is combined with an SD model of the infection process in the community. These two models were developed in commercial software and linked in an automated fashion via an Excel interface. To our knowledge this is the first time such a composite model has been used in a healthcare setting. The model shows how the prevalence of Chlamydia at a community level affects (and is affected by) operational level decisions made in the hospital outpatient department. We discuss the additional benefits provided by the composite model over and above the benefits gained from the two individual models.

Suggested Citation

  • Viana, J. & Brailsford, S.C. & Harindra, V. & Harper, P.R., 2014. "Combining discrete-event simulation and system dynamics in a healthcare setting: A composite model for Chlamydia infection," European Journal of Operational Research, Elsevier, vol. 237(1), pages 196-206.
    • Handle: RePEc:eee:ejores:v:237:y:2014:i:1:p:196-206
    DOI: 10.1016/j.ejor.2014.02.052
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    References listed on IDEAS

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    1. 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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    Cited by:

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    2. Daniel Vujcich & Meagan Roberts & Tyler Selway & Barbara Nattabi, 2023. "The Application of Systems Thinking to the Prevention and Control of Sexually Transmissible Infections among Adolescents and Adults: A Scoping Review," IJERPH, MDPI, vol. 20(9), pages 1-27, May.
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    5. Özge Karanfil & Niyousha Hosseinichimeh & Jim Duggan, 2020. "System dynamics and bio‐medical modeling," System Dynamics Review, System Dynamics Society, vol. 36(4), pages 389-396, October.
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    8. J H Powell & N Mustafee, 2017. "Widening requirements capture with soft methods: an investigation of hybrid M&S studies in health care," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1211-1222, October.
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    11. 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.
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    13. Penny R. Breeze & Hazel Squires & Kate Ennis & Petra Meier & Kate Hayes & Nik Lomax & Alan Shiell & Frank Kee & Frank de Vocht & Martin O’Flaherty & Nigel Gilbert & Robin Purshouse & Stewart Robinson , 2023. "Guidance on the use of complex systems models for economic evaluations of public health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 32(7), pages 1603-1625, July.
    14. Chang, Angela Y. & Ogbuoji, Osondu & Atun, Rifat & Verguet, Stéphane, 2017. "Dynamic modeling approaches to characterize the functioning of health systems: A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 194(C), pages 160-167.
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