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Using simulation modelling for evaluating screening services for diabetic retinopathy

Author

Listed:
  • R Davies

    (University of Southampton)

  • S Brailsford

    (University of Southampton)

  • P Roderick

    (University of Southampton)

  • C Canning

    (Southampton Eye Unit, Southampton University Hospital Trust)

  • D Crabbe

    (University of Southampton)

Abstract

In using discrete event simulation for planning services in the health sector, epidemiologists and clinicians were closely involved in model design, data collection, analysis, validation and experimentation. For patients with diabetes, loss of sight can be prevented by timely treatment if detected sufficiently early. Simulation models, using the patient oriented simulation technique, POST, have been developed to assist policy makers in the choice of screening strategy in terms of operator, equipment, frequency of screening and target population. The models describe the progress of a population of diabetic patients, including new arrivals, over 25 years. The initial population were given characteristics retrospectively and the parameters were derived from peer reviewed publications. The results from the models show that the interval between screening is more important than screening sensitivity. The simulation can determine the expected workload and the amount of vision loss prevented for any population group.

Suggested Citation

  • R Davies & S Brailsford & P Roderick & C Canning & D Crabbe, 2000. "Using simulation modelling for evaluating screening services for diabetic retinopathy," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(4), pages 476-484, April.
    • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:4:d:10.1057_palgrave.jors.2600890
    DOI: 10.1057/palgrave.jors.2600890
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    Citations

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    Cited by:

    1. Sally Brailsford & Walter Gutjahr & Marion Rauner & Wolfgang Zeppelzauer, 2007. "Combined Discrete-event Simulation and Ant Colony Optimisation Approach for Selecting Optimal Screening Policies for Diabetic Retinopathy," Computational Management Science, Springer, vol. 4(1), pages 59-83, January.
    2. Davies, Ruth & Roderick, Paul & Raftery, James, 2003. "The evaluation of disease prevention and treatment using simulation models," European Journal of Operational Research, Elsevier, vol. 150(1), pages 53-66, October.
    3. Harper, P. R. & Sayyad, M. G. & de Senna, V. & Shahani, A. K. & Yajnik, C. S. & Shelgikar, K. M., 2003. "A systems modelling approach for the prevention and treatment of diabetic retinopathy," European Journal of Operational Research, Elsevier, vol. 150(1), pages 81-91, October.
    4. Brailsford, Sally & Schmidt, Bernd, 2003. "Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation," European Journal of Operational Research, Elsevier, vol. 150(1), pages 19-31, October.
    5. K Cooper & S C Brailsford & R Davies, 2007. "Choice of modelling technique for evaluating health care interventions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 168-176, February.
    6. M S Rauner & S C Brailsford & S Flessa, 2005. "Use of discrete-event simulation to evaluate strategies for the prevention of mother-to-child transmission of HIV in developing countries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 222-233, February.
    7. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.
    8. Brailsford, S.C. & Harper, P.R. & Sykes, J., 2012. "Incorporating human behaviour in simulation models of screening for breast cancer," European Journal of Operational Research, Elsevier, vol. 219(3), pages 491-507.

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