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Assessment of a 7-day turn-around for the reporting of cervical smear results using discrete event simulation

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  • H Pilgrim

    (University of Sheffield)

  • J Chilcott

    (University of Sheffield)

Abstract

A discrete event simulation (DES) model has been used to analyse options with the potential to facilitate a 7-day turn-around of cervical screening results in England, with the aim of reducing the anxiety experienced by the participants. Detailed information regarding the cervical screening process collected from the NHS Cancer Screening Programme, research papers, current national guidelines and five cytology laboratories in England was used to inform a DES model representing a typical laboratory. A number of options for change were evaluated. The simulation model suggested that it would be feasible to improve the result turn-around times from 95% within 11 weeks to 95% within 2 weeks; and from an average current result turn-around time of around 6 weeks, to over 50% within 7 days. Moreover, the options for change should be cost saving in the long term.

Suggested Citation

  • H Pilgrim & J Chilcott, 2008. "Assessment of a 7-day turn-around for the reporting of cervical smear results using discrete event simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 902-910, July.
    • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:7:d:10.1057_palgrave.jors.2602431
    DOI: 10.1057/palgrave.jors.2602431
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    References listed on IDEAS

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    1. 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.
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    3. B W Hollocks, 2006. "Forty years of discrete-event simulation—a personal reflection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1383-1399, December.
    4. Jonathan Karnon, 2003. "Alternative decision modelling techniques for the evaluation of health care technologies: Markov processes versus discrete event simulation," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 837-848, October.
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    Cited by:

    1. H Pilgrim & P Tappenden & J Chilcott & M Bending & P Trueman & A Shorthouse & J Tappenden, 2009. "The costs and benefits of bowel cancer service developments using discrete event simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1305-1314, October.
    2. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    3. 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.

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