IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v93y2009i2-3p143-150.html
   My bibliography  Save this article

A tutorial on discrete-event simulation for health policy design and decision making: Optimizing pediatric ultrasound screening for hip dysplasia as an illustration

Author

Listed:
  • Ramwadhdoebe, Sabrina
  • Buskens, Erik
  • Sakkers, Ralph J.B.
  • Stahl, James E.

Abstract

Background It is increasingly recognized that healthcare is a complex system with limited resources and many interacting sources of both positive and negative feedback. Discrete-event simulation (DES) is a tool that readily accommodates questions of capacity planning, throughput management and interacting resources. As a result the use of DES in informing healthcare decision making is increasing. However, understanding when and how to build a DES model and use it for policy making is not yet a common knowledge.Methods The steps in building a DES model will be demonstrated using a real-world example, i.e., pediatric ultrasound screening for hip dysplasia. The main components of a DES model such as entities, resources and queues will be introduced and we will examine questions such as referral schedule, number of ultrasound machines and type of screeners and how these entities interact. Finally a review of the statistical techniques appropriate to DES will be provided.Conclusion Discrete-event simulation is a valuable tool in the policymakers armentarium. It can be used effectively to analyze and understand complex healthcare systems and policy problems such as population screening.

Suggested Citation

  • Ramwadhdoebe, Sabrina & Buskens, Erik & Sakkers, Ralph J.B. & Stahl, James E., 2009. "A tutorial on discrete-event simulation for health policy design and decision making: Optimizing pediatric ultrasound screening for hip dysplasia as an illustration," Health Policy, Elsevier, vol. 93(2-3), pages 143-150, December.
    • Handle: RePEc:eee:hepoli:v:93:y:2009:i:2-3:p:143-150
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168-8510(09)00180-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Nathaniel Hupert & Alvin I. Mushlin & Mark A. Callahan, 2002. "Modeling the Public Health Response to Bioterrorism: Using Discrete Event Simulation to Design Antibiotic Distribution Centers," Medical Decision Making, , vol. 22(1_suppl), pages 17-25, September.
    2. James E. Stahl & David Rattner & Richard Wiklund & Jessica Lester & Molly Beinfeld & G. Scott Gazelle, 2004. "Reorganizing the System of Care Surrounding Laparoscopic Surgery: A Cost-Effectiveness Analysis Using Discrete-Event Simulation," Medical Decision Making, , vol. 24(5), pages 461-471, October.
    3. Alan Brennan & Stephen E. Chick & Ruth Davies, 2006. "A taxonomy of model structures for economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1295-1310, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fournier, Derrick L. & Zaric, Gregory S., 2013. "Simulating neonatal intensive care capacity in British Columbia," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 131-141.
    2. Jesús Isaac Vázquez-Serrano & Rodrigo E. Peimbert-García & Leopoldo Eduardo Cárdenas-Barrón, 2021. "Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    3. Mark Roberts & Louise B. Russell & A. David Paltiel & Michael Chambers & Phil McEwan & Murray Krahn, 2012. "Conceptualizing a Model," Medical Decision Making, , vol. 32(5), pages 678-689, September.

    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. Eren Demir & David Southern, 2017. "Enabling better management of patients: discrete event simulation combined with the STAR approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 577-590, May.
    2. Reda Lebcir & Usame Yakutcan & Eren Demir, 2022. "A decision support tool with health economic modelling for better management of DVT patients," Health Economics Review, Springer, vol. 12(1), pages 1-16, December.
    3. Ali Asgary & Svetozar Zarko Valtchev & Michael Chen & Mahdi M. Najafabadi & Jianhong Wu, 2020. "Artificial Intelligence Model of Drive-Through Vaccination Simulation," IJERPH, MDPI, vol. 18(1), pages 1-10, December.
    4. Heß, Michael (Ed.) & Schlieter, Hannes (Ed.), 2014. "Modellierung im Gesundheitswesen: Tagungsband des Workshops im Rahmen der Modellierung 2014," ICB Research Reports 57, University Duisburg-Essen, Institute for Computer Science and Business Information Systems (ICB).
    5. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    6. Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).
    7. Eva K. Lee & Siddhartha Maheshwary & Jacquelyn Mason & William Glisson, 2006. "Large-Scale Dispensing for Emergency Response to Bioterrorism and Infectious-Disease Outbreak," Interfaces, INFORMS, vol. 36(6), pages 591-607, December.
    8. Bernhard Ultsch & Oliver Damm & Philippe Beutels & Joke Bilcke & Bernd Brüggenjürgen & Andreas Gerber-Grote & Wolfgang Greiner & Germaine Hanquet & Raymond Hutubessy & Mark Jit & Mirjam Knol & Rüdiger, 2016. "Methods for Health Economic Evaluation of Vaccines and Immunization Decision Frameworks: A Consensus Framework from a European Vaccine Economics Community," PharmacoEconomics, Springer, vol. 34(3), pages 227-244, March.
    9. Hossein Haji Ali Afzali & Laura Bojke & Jonathan Karnon, 2018. "Model Structuring for Economic Evaluations of New Health Technologies," PharmacoEconomics, Springer, vol. 36(11), pages 1309-1319, November.
    10. Ubaid Illahi & Mohammad Shafi Mir, 2021. "Maintaining efficient logistics and supply chain management operations during and after coronavirus (COVID-19) pandemic: learning from the past experiences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11157-11178, August.
    11. Becky Pennington & Alex Filby & Lesley Owen & Matthew Taylor, 2018. "Smoking Cessation: A Comparison of Two Model Structures," PharmacoEconomics, Springer, vol. 36(9), pages 1101-1112, September.
    12. Gemma E. Shields & Mark Wilberforce & Paul Clarkson & Tracey Farragher & Arpana Verma & Linda M. Davies, 2022. "Factors Limiting Subgroup Analysis in Cost-Effectiveness Analysis and a Call for Transparency," PharmacoEconomics, Springer, vol. 40(2), pages 149-156, February.
    13. Fernando Alarid-Escudero & Richard F. MacLehose & Yadira Peralta & Karen M. Kuntz & Eva A. Enns, 2018. "Nonidentifiability in Model Calibration and Implications for Medical Decision Making," Medical Decision Making, , vol. 38(7), pages 810-821, October.
    14. Koen Degeling & Maarten J. IJzerman & Mariel S. Lavieri & Mark Strong & Hendrik Koffijberg, 2020. "Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process," Medical Decision Making, , vol. 40(3), pages 348-363, April.
    15. Peter J. Dodd & Jeff J. Pennington & Liza Bronner Murrison & David W. Dowdy, 2018. "Simple Inclusion of Complex Diagnostic Algorithms in Infectious Disease Models for Economic Evaluation," Medical Decision Making, , vol. 38(8), pages 930-941, November.
    16. Jonathan Karnon & James Stahl & Alan Brennan & J. Jaime Caro & Javier Mar & Jörgen Möller, 2012. "Modeling Using Discrete Event Simulation," Medical Decision Making, , vol. 32(5), pages 701-711, September.
    17. Annika Hoyer & Sophie Kaufmann & Ralph Brinks, 2019. "Risk factors in the illness-death model: Simulation study and the partial differential equation about incidence and prevalence," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-10, December.
    18. Olivier Ethgen & Baudouin Standaert, 2012. "Population–versus Cohort–Based Modelling Approaches," PharmacoEconomics, Springer, vol. 30(3), pages 171-181, March.
    19. Stuart J. Wright & William G. Newman & Katherine Payne, 2019. "Accounting for Capacity Constraints in Economic Evaluations of Precision Medicine: A Systematic Review," PharmacoEconomics, Springer, vol. 37(8), pages 1011-1027, August.
    20. Arielle Anderer & Hamsa Bastani & John Silberholz, 2022. "Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?," Management Science, INFORMS, vol. 68(3), pages 1982-2002, March.

    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:eee:hepoli:v:93:y:2009:i:2-3:p:143-150. 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: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.