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A model for locating preventive health care facilities

Author

Listed:
  • Kerim Dogan

    (National Defense University)

  • Mumtaz Karatas

    (National Defense University, Naval Academy
    Bahcesehir University)

  • Ertan Yakici

    (National Defense University, Naval Academy)

Abstract

In this paper, we focus on the problem of locating preventive health care (PHC) facilities. The most important factors that promote participation rates in PHC programs include the establishment of an appropriate infrastructure and the provision of a satisfactory quality of care. For this purpose, we develop a strategic level multi-objective mixed integer linear programming model for locating PHC facilities to ensure maximum participation and provide timely service to potential clients. We, then, apply the model to a case study of locating Cancer Early Diagnosis, Screening and Training Centers in Istanbul, Turkey and solve it considering the forecasted population of each district in Istanbul for the next 15 years. We also perform a sensitivity analysis to quantify the effect of different weighting strategies on the value of each term in the objective function.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:cejnor:v:28:y:2020:i:3:d:10.1007_s10100-019-00621-4
    DOI: 10.1007/s10100-019-00621-4
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    References listed on IDEAS

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    Cited by:

    1. Elorza, María Eugenia & Moscoso, Nebel Silvana & Blanco, Anibal Manuel, 2022. "Assessing performance in health care: A mathematical programming approach for the re-design of primary health care networks," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Kim, Hongjik & Usui, Hiroyuki & Asami, Yasushi & Hino, Kimihiro, 2022. "A simulation of allocation of participants engaging in group activities at community salons: Accessibility and self-stigma," Social Science & Medicine, Elsevier, vol. 292(C).
    3. Yusuf Kuvvetli, 2023. "A goal programming model for two-stage COVID19 test sampling centers location-allocation problem," 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. 31(1), pages 1-20, March.
    4. Pilar I. Vidal-Carreras & Julio J. Garcia-Sabater & Juan A. Marin-Garcia, 2022. "Applying Value Stream Mapping to Improve the Delivery of Patient Care in the Oncology Day Hospital," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
    5. Erwin J. Delgado & Xavier Cabezas & Carlos Martin-Barreiro & Víctor Leiva & Fernando Rojas, 2022. "An Equity-Based Optimization Model to Solve the Location Problem for Healthcare Centers Applied to Hospital Beds and COVID-19 Vaccination," Mathematics, MDPI, vol. 10(11), pages 1-24, May.

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