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Investigating interventions for increasing colorectal cancer screening: Insights from a simulation model

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  • Hosking, Michael
  • Roberts, Stephen
  • Uzsoy, Reha
  • Joseph, Talisa M.

Abstract

We develop a discrete-event-continuous simulation model of colorectal cancer screening in North Carolina to examine the impact of six different interventions on the fraction of eligible patients receiving the clinically recommended screening. We find that demand side interventions alone are less effective than using only supply side interventions or a combination of both; the single most effective intervention is implementing a patient reminder system to reduce the number of no-show patients; and that all interventions studied are subject to significant diminishing returns.

Suggested Citation

  • Hosking, Michael & Roberts, Stephen & Uzsoy, Reha & Joseph, Talisa M., 2013. "Investigating interventions for increasing colorectal cancer screening: Insights from a simulation model," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 142-155.
    • Handle: RePEc:eee:soceps:v:47:y:2013:i:2:p:142-155
    DOI: 10.1016/j.seps.2012.10.001
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    References listed on IDEAS

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    1. Zhang, Yue & Berman, Oded & Verter, Vedat, 2009. "Incorporating congestion in preventive healthcare facility network design," European Journal of Operational Research, Elsevier, vol. 198(3), pages 922-935, November.
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    Cited by:

    1. Kerim Dogan & Mumtaz Karatas & Ertan Yakici, 2020. "A model for locating preventive health care facilities," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(3), pages 1091-1121, September.
    2. Kaya, Onur & Teymourifar, Aydin & Ozturk, Gurkan, 2020. "Analysis of different public policies through simulation to increase total social utility in a healthcare system," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).

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