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Overcoming the barriers: a qualitative study of simulation adoption in the NHS

Author

Listed:
  • S C Brailsford

    (School of Management, University of Southampton, UK)

  • T B Bolt

    (School of Management, University of Southampton, UK)

  • G Bucci

    (AtoZ Consultancy, Kenilworth, Coventry, UK)

  • T M Chaussalet

    (School of Informatics, University of Westminster, UK)

  • N A Connell

    (School of Management, University of Southampton, UK)

  • P R Harper

    (School of Mathematics Cardiff University, UK)

  • J H Klein

    (School of Management, University of Southampton, UK)

  • M Pitt

    (Peninsula Technology Assessment Group, University of Exeter, UK)

  • M Taylor

    (School of Management, University of Southampton, UK)

Abstract

This paper addresses a key issue in the health OR literature, namely the apparent failure of OR modelling to become embedded and widely implemented within healthcare organisations. The research presented here is a case study to evaluate the adoption of one particular simulation modelling tool, Scenario Generator (S:G), which was developed by the SIMUL8 Corporation in a PPI partnership with the UK's National Health Service (NHS) Institute for Innovation and Improvement. The study involved semi-structured interviews with employees of 28 Primary Care Trusts who had all been engaged in some way with the initiative, with participants classified as ‘Not Started’, ‘Given Up’ and ‘Actively Using’. This paper presents a brief summary of barriers and facilitators to the successful use of the S:G software, but its main purpose is to focus more broadly on factors influencing the successful adoption of simulation tools in general within healthcare organisations. The insights gained in this study are relevant to improving the uptake of OR modelling in general within the NHS.

Suggested Citation

  • S C Brailsford & T B Bolt & G Bucci & T M Chaussalet & N A Connell & P R Harper & J H Klein & M Pitt & M Taylor, 2013. "Overcoming the barriers: a qualitative study of simulation adoption in the NHS," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(2), pages 157-168, February.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:2:p:157-168
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    Cited by:

    1. Harper, Alison & Mustafee, Navonil & Yearworth, Mike, 2021. "Facets of trust in simulation studies," European Journal of Operational Research, Elsevier, vol. 289(1), pages 197-213.
    2. Nicolas Bahou & Claire Fenwick & Gillian Anderson & Robert Meer & Tony Vassalos, 2018. "Modeling the critical care pathway for cardiothoracic surgery," Health Care Management Science, Springer, vol. 21(2), pages 192-203, June.
    3. Carter, Michael W. & Busby, Carolyn R., 2023. "How can operational research make a real difference in healthcare? Challenges of implementation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1059-1068.
    4. 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.

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