PharmacoEconomics

, Volume 35, Issue 9, pp 937–949 | Cite as

Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews

  • Syed Salleh
  • Praveen Thokala
  • Alan Brennan
  • Ruby Hughes
  • Andrew Booth
Review Article

Abstract

Background

Numerous studies examine simulation modelling in healthcare. These studies present a bewildering array of simulation techniques and applications, making it challenging to characterise the literature.

Objective

The aim of this paper is to provide an overview of the level of activity of simulation modelling in healthcare and the key themes.

Methods

We performed an umbrella review of systematic literature reviews of simulation modelling in healthcare. Searches were conducted of academic databases (JSTOR, Scopus, PubMed, IEEE, SAGE, ACM, Wiley Online Library, ScienceDirect) and grey literature sources, enhanced by citation searches. The articles were included if they performed a systematic review of simulation modelling techniques in healthcare. After quality assessment of all included articles, data were extracted on numbers of studies included in each review, types of applications, techniques used for simulation modelling, data sources and simulation software.

Results

The search strategy yielded a total of 117 potential articles. Following sifting, 37 heterogeneous reviews were included. Most reviews achieved moderate quality rating on a modified AMSTAR (A Measurement Tool used to Assess systematic Reviews) checklist. All the review articles described the types of applications used for simulation modelling; 15 reviews described techniques used for simulation modelling; three reviews described data sources used for simulation modelling; and six reviews described software used for simulation modelling. The remaining reviews either did not report or did not provide enough detail for the data to be extracted.

Conclusion

Simulation modelling techniques have been used for a wide range of applications in healthcare, with a variety of software tools and data sources. The number of reviews published in recent years suggest an increased interest in simulation modelling in healthcare.

Notes

Acknowledgements

We thank all of those who contributed to this work. In addition, the corresponding author (SS) would like to thank Majlis Amanah Rakyat (MARA) for sponsoring this project.

Author contributions

The study idea originated from PT and was further developed in discussions with SS, and finalised in communication with all authors. SS coordinated the data collection and interpretation, which was agreed among all authors. SS and PT wrote the initial draft, with all authors contributing to the submitted version and also revising the manuscript based on reviewers’ comments. SS is the overall guarantor for the manuscript.

Compliance with Ethical Standards

Funding

This work was supported by the Majlis Amanah Rakyat (MARA).

Conflict of interest

Syed Salleh, Praveen Thokala, Alan Brennan, Ruby Hughes and Andrew Booth declare that they have no conflicts of interest.

Supplementary material

40273_2017_523_MOESM1_ESM.docx (156 kb)
Supplementary material 1 (DOCX 155 kb)

References

  1. 1.
    Grant M, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J. 2009;26(2):91–108.PubMedCrossRefGoogle Scholar
  2. 2.
    Mahdavi M, Malmström T, Van De Klundert J, Elkhuizen S, Vissers J. Generic operational models in health service operations management: a systematic review. Socioecon Plann Sci. 2013;47(4):271–80.CrossRefGoogle Scholar
  3. 3.
    Aromataris E, Fernandez R, Godfrey C, Holl C, Khalil H, Tungpunkom P. Methodology for JBI umbrella reviews. Adelaide: Joanna Brigs Institute; 2013. p. 2. http://joannabriggs.org/assets/docs/sumari/ReviewersManual-Methodology-JBI_Umbrella%20Reviews-2014.pdf. Accessed 8 Nov 2014.
  4. 4.
    Holly C, Salmond S, Saimbert M. Comprehensive systematic review for advanced nursing practice. New York: Springer; 2012. p. 86.Google Scholar
  5. 5.
    Shea B, Grimshaw J, Wells G, Boers M, Andersson N, Hamel C, et al. Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Med Res Methodol. 2007;7(1):10.PubMedPubMedCentralCrossRefGoogle Scholar
  6. 6.
    Wegewitz U, Weikert B, Fishta A, Jacobs A, Pieper D. Resuming the discussion of AMSTAR: what can (should) be made better? BMC Med Res Methodol. 2016;16(1):111.PubMedPubMedCentralCrossRefGoogle Scholar
  7. 7.
    Klein R, Dittus R, Roberts S, Wilson J. Simulation modeling and health-care decision making. Med Decis Making. 1993;13(4):347–54.PubMedCrossRefGoogle Scholar
  8. 8.
    Fone D, Hollinghurst S, Temple M, Round A, Lester N, Weightman A, et al. Systematic review of the use and value of computer simulation modelling in population health and health care delivery. J Public Health Med. 2003;25(4):325–35.PubMedCrossRefGoogle Scholar
  9. 9.
    White K. A survey of data resources for simulating patient flows in healthcare delivery systems. In: Proceedings of the winter simulation conference. IEEE; 2005. p. 926–34. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1574341. Accessed 31 Dec 2014.
  10. 10.
    Hoot N, Aronsky D. Systematic review of emergency department crowding: causes, effects, and solutions. Ann Emerg Med. 2008;52(2):126–136.e1.PubMedCrossRefGoogle Scholar
  11. 11.
    Sobolev B, Sanchez V, Vasilakis C. Systematic review of the use of computer simulation modeling of patient flow in surgical care. J Med Syst. 2009;35(1):1–16.PubMedCrossRefGoogle Scholar
  12. 12.
    Jack E, Powers T. A review and synthesis of demand management, capacity management and performance in health-care services. Int J Manag Rev. 2009;11(2):149–74.CrossRefGoogle Scholar
  13. 13.
    Brailsford S, Harper P, Patel B, Pitt M. An analysis of the academic literature on simulation and modelling in health care. J Simul. 2009;3(3):130–40.CrossRefGoogle Scholar
  14. 14.
    Mielczarek B, Uzialko-Mydlikowska J. Application of computer simulation modeling in the health care sector: a survey. Simulation. 2010;88(2):197–216.CrossRefGoogle Scholar
  15. 15.
    Paul S, Reddy M, DeFlitch C. A systematic review of simulation studies investigating emergency department overcrowding. Simulation. 2010;86(8–9):559–71.CrossRefGoogle Scholar
  16. 16.
    Mustafee N, Katsaliaki K, Taylor S. Profiling literature in healthcare simulation. Simulation. 2010;86(8–9):543–58.CrossRefGoogle Scholar
  17. 17.
    Cardoen B, Demeulemeester E, Belien J. Operating room planning and scheduling: a literature review. Eur J Oper Res. 2010;201(3):921–32.CrossRefGoogle Scholar
  18. 18.
    Katsaliaki K, Mustafee N. Applications of simulation within the healthcare context. J Oper Res Soc. 2010;62(8):1431–51.CrossRefGoogle Scholar
  19. 19.
    Guerriero F, Guido R. Operational research in the management of the operating theatre: a survey. Health Care Manag Sci. 2010;14(1):89–114.PubMedCrossRefGoogle Scholar
  20. 20.
    Günal M, Pidd M. Discrete event simulation for performance modelling in health care: a review of the literature. J Simulat. 2010;4(1):42–51.CrossRefGoogle Scholar
  21. 21.
    Van Sambeek J, Cornelissen F, Bakker P, Krabbendam J. Models as instruments for optimizing hospital processes: a systematic review. Int J Health Care Qual Assur. 2010;23(4):356–77.PubMedCrossRefGoogle Scholar
  22. 22.
    Fakhimi M, Mustafee N. Application of Operations Research within the UK Healthcare Context. Operational Research Society Simulation Workshop. The Operational Research Society; 2012. p. 66-82. http://www.theorsociety.com/Pages/ImagesAndDocuments/documents/Conferences/SW12/Papers/FakhimiMustafee.pdf. Accessed 22 Apr 2017.
  23. 23.
    Hulshof P, Kortbeek N, Boucherie R, Hans E, Bakker P. Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS. Health Syst. 2012;1(2):129–75.CrossRefGoogle Scholar
  24. 24.
    Van Lent W, VanBerkel P, Van Harten W. A review on the relation between simulation and improvement in hospitals. BMC Med Inform Decis Making. 2012;12(18):1–8.Google Scholar
  25. 25.
    Beliën J, Forcé H. Supply chain management of blood products: a literature review. Eur J Oper Res. 2012;217(1):1–16.CrossRefGoogle Scholar
  26. 26.
    Aboueljinane L, Sahin E, Jemai Z. A review on simulation models applied to emergency medical service operations. Comput Ind Eng. 2013;66(4):734–50.CrossRefGoogle Scholar
  27. 27.
    Fakhimi M, Probert J. Operations research within UK healthcare: a review. J Enterprise Inf Manag. 2013;26(1/2):21–49.CrossRefGoogle Scholar
  28. 28.
    Timbie J, Ringel J, Fox D, Pillemer F, Waxman D, Moore M, et al. Systematic review of strategies to manage and allocate scarce resources during mass casualty events. Ann Emerg Med. 2013;61(6):677–689.e101.PubMedCrossRefGoogle Scholar
  29. 29.
    Pomey M, Forest P, Sanmartin C, DeCoster C, Clavel N, Warren E, et al. Toward systematic reviews to understand the determinants of wait time management success to help decision-makers and managers better manage wait times. Implement Sci. 2013;8(1):61.PubMedPubMedCentralCrossRefGoogle Scholar
  30. 30.
    Verbano C, Crema M. Guidelines for overcoming hospital managerial challenges: a systematic literature review. Ther Clin Risk Manag. 2013;9:427–41.PubMedPubMedCentralCrossRefGoogle Scholar
  31. 31.
    Lakshmi C, Sivakumar A. Application of queueing theory in health care: a literature review. Oper Res Health Care. 2013;2(1–2):25–39.Google Scholar
  32. 32.
    Kammoun A, Loukil T, Hachicha W. The use of discrete event simulation in hospital supply chain management. In: 2014 International conferences on advanced logistics and transport (ICALT), Hammamet. IEEE; 2014. p. 143–8. doi: 10.1109/ICAdLT.2014.6864108. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6864108&isnumber=6864062. Accessed 26 May 2017.
  33. 33.
    Carey G, Malbon E, Carey N, Joyce A, Crammond B, Carey A. Systems science and systems thinking for public health: a systematic review of the field. BMJ Open. 2015;5(12):e009002.PubMedPubMedCentralCrossRefGoogle Scholar
  34. 34.
    Atkinson J, Wells R, Page A, Dominello A, Haines M, Wilson A. Applications of system dynamics modelling to support health policy. Public Health Res Pract. 2015;25(3):e2531531.PubMedCrossRefGoogle Scholar
  35. 35.
    Baru R, Cudney E, Guardiola I. Systematic review of operations research and simulation methods for bed management. In: Proceedings of the 2015 industrial and systems engineering research conference. ResearchGate; 2015. p. 298–306. https://www.researchgate.net/publication/308971444_Systematic_Review_of_Operations_Research_and_Simulation_Methods_for_Bed_Management. Accessed 26 May 2017.
  36. 36.
    Isern D, Moreno A. A systematic literature review of agents applied in healthcare. J Med Syst. 2015;40(2):43.PubMedCrossRefGoogle Scholar
  37. 37.
    Gul M, Guneri A. A comprehensive review of emergency department simulation applications for normal and disaster conditions. Comput Ind Eng. 2015;83:327–44.CrossRefGoogle Scholar
  38. 38.
    Vieira B, Hans E, Van Vliet-Vroegindeweij C, Van de Kamer J, van Harten W. Operations research for resource planning and -use in radiotherapy: a literature review. BMC Med Inform Decis Making. 2016;16(1):3–11.CrossRefGoogle Scholar
  39. 39.
    Mielczarek B. Review of modelling approaches for healthcare simulation. Oper Res Decis. 2016;26(1):55–72.Google Scholar
  40. 40.
    Palmer R, Fulop N, Utley M. A systematic literature review of operational research methods for modelling patient flow and outcomes within community healthcare and other settings. Health Syst. 2017;6(15):1–21.Google Scholar
  41. 41.
    Soh K, Walker C, O’Sullivan M. A literature review on validated simulations of the surgical services. J Med Syst. 2017;41(4):61.PubMedCrossRefGoogle Scholar
  42. 42.
    Mohiuddin S, Busby J, Savovi J, Richards A, Northstone K, Hollingworth W, et al. Patient flow within UK emergency departments: a systematic review of the use of computer simulation modelling methods. BMJ Open. 2017;7(5):1–14.CrossRefGoogle Scholar
  43. 43.
    Jun J, Jacobson S, Swisher J. Application of discrete-event simulation in health care clinics: a survey. J Oper Res Soc. 1999;50(2):109.CrossRefGoogle Scholar
  44. 44.
    Lehaney B, Hlupic V. Simulation modelling for resource allocation and planning in the health sector. J R Soc Promot Health. 1995;115(6):382–5.CrossRefGoogle Scholar
  45. 45.
    Jacobson SH, Hall SN, Swisher JR. Discrete-event simulation of health care systems. In: Hall R, editor. Patient flow: reducing delay in healthcare delivery. New York: Springer; 2006. p. 211–52.CrossRefGoogle Scholar
  46. 46.
    Thorwarth M, Arisha A. Application of discrete-event simulation in health care: a review. Reports. Paper 3. Dublin Institute of Technology; 2009. p. 1–32. http://arrow.dit.ie/buschmanrep/3/?utm_source=arrow.dit.ie%2Fbuschmanrep%2F3&utm_medium=PDF&utm_campaign=PDFCoverPages. Accessed 6 Nov 2015.
  47. 47.
    Vanberkel P, Boucherie R, Hans E, Hurink J, Litvak N. A survey of health care models that encompass multiple departments. University of Twente; 2009. p. 1–49. http://doc.utwente.nl/67545/1/memo1903.pdf. Accessed 2 Jan 2016.
  48. 48.
    Soni K, Saxena K. A study of applicability of waiting line model in health care: a systematic review. Int J Mark Technol. 2011;19(1):75–91.Google Scholar
  49. 49.
    Atuahene I, Kubi P, Acosta-Amando R, Lacera-Cortes I, Sawhney R, Atuahene E, et al. Towards an operations research sustainable healthcare: an overview of recent applications of OR in healthcare. In: Industrial and systems engineering research conference. ResearchGate; 2014. p. 1–12. https://www.researchgate.net/publication/287394488_Towards_an_operations_research_sustainable_healthcare_An_overview_of_recent_applications_of_or_in_healthcare. Accessed 26 May 2017.
  50. 50.
    White L, Smith H, Currie C. OR in developing countries: a review. Eur J Oper Res. 2011;208(1):1–11.CrossRefGoogle Scholar
  51. 51.
    Van den Bergh J, Beliën J, De Bruecker P, Demeulemeester E, De Boeck L. Personnel scheduling: a literature review. Eur J Oper Res. 2013;226(3):367–85.CrossRefGoogle Scholar
  52. 52.
    Xing Y, Li L, Bi Z, Wilamowska-Korsak M, Zhang L. Operations research (OR) in service industries: a comprehensive review. Syst Res. 2013;30(3):300–353. http://onlinelibrary.wiley.com/doi/10.1002/sres.2185/abstract. Accessed 26 May 2017.
  53. 53.
    Dangerfield B. System dynamics applications to European health care issues. J Oper Res Soc. 1999;50(4):345–53.CrossRefGoogle Scholar
  54. 54.
    Wolstenholme E. Health care in the United Kingdom and Europe, system dynamics applications to. In: Meyers RA, editor. Encyclopedia of complexity and systems science. New York: Springer Science + Business Media, LLC; 2009. p. 4561–76.CrossRefGoogle Scholar
  55. 55.
    Hammond R. Complex systems modeling for obesity research. Prev Chronic Dis. 2009;6(3):1–10.Google Scholar
  56. 56.
    Diez Roux A. Complex systems thinking and current impasses in health disparities research. Am J Public Health. 2011;101(9):1627–34.CrossRefGoogle Scholar
  57. 57.
    Luke D, Stamatakis K. Systems science methods in public health: dynamics, networks, and agents. Annu Rev Public Health. 2012;33(1):357–76.PubMedPubMedCentralCrossRefGoogle Scholar
  58. 58.
    Heesterbeek H, Anderson R, Andreasen V, Bansal S, De Angelis D, Dye C, et al. Modeling infectious disease dynamics in the complex landscape of global health. Science. 2015;347(6227):1–24.CrossRefGoogle Scholar
  59. 59.
    Eaton J, Johnson L, Salomon J, Bärnighausen T, Bendavid E, Bershteyn A, et al. HIV treatment as prevention: systematic comparison of mathematical models of the potential impact of antiretroviral therapy on HIV incidence in South Africa. PLoS Med. 2012;9(7):1–20.CrossRefGoogle Scholar
  60. 60.
    Brennan A, Chick S, Davies R. A taxonomy of model structures for economic evaluation of health technologies. Health Econ. 2006;15(12):1295–310.PubMedCrossRefGoogle Scholar
  61. 61.
    AHRQ. Decision and simulation modeling: review of existing guidance, future research needs, and validity assessment. Maryland: AHRQ; 2014. p. 1–54. https://effectivehealthcare.ahrq.gov/index.cfm/search-for-guides-reviews-and-reports/?pageaction=displayproduct&productid=1965. Accessed 12 May 2017.
  62. 62.
    Marshall D, Burgos-Liz L, IJzerman M, Crown W, Padula W, Wong P, et al. Selecting a dynamic simulation modeling method for health care delivery research—part 2: report of the ISPOR Dynamic Simulation Modeling Emerging Good Practices Task Force. Value Health. 2015;18(2):147–60.PubMedCrossRefGoogle Scholar
  63. 63.
    Marshall D, Burgos-Liz L, IJzerman M, Osgood N, Padula W, Higashi M, et al. Applying dynamic simulation modeling methods in health care delivery research—the SIMULATE checklist: report of the ISPOR Simulation Modeling Emerging Good Practices Task Force. Value Health. 2015;18(1):5–16.PubMedCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.School of Health and Related Research (ScHARR)University of SheffieldSheffieldUK

Personalised recommendations