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A biobjective model for the locational planning of hospitals and health centers

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  • Panagiotis Mitropoulos
  • Ioannis Mitropoulos
  • Ioannis Giannikos
  • Aris Sissouras

Abstract

The aim of this paper is to propose a new location–allocation structure, in an effort to improve the operational shortcomings of the existing locations of primary health care centers. These shortcomings are mainly caused by the preference of patients to use local hospitals rather than health centers. The method is based on a biobjective mathematical programming model for locating hospitals and primary health care centers. Two objectives are considered: (1) minimization of distance between patients and facilities, (2) equitable distribution of the facilities among citizens. We formulate the model taking into consideration the interdependence of the locations i.e. the general hospitals and health centers. This approach enables us to introduce a new aspect to the location problem, namely public preferences and also to consider the decentralization of the health care system. In order to represent the available information we employ Geographic Information Systems (GIS). We apply this model in the area of Western Greece and then compare our results with the solution originally selected by planners. Demographic data concerning the major and minor population centers of the area were based on the latest census of 2001. The results confirm the necessity of applied scientific approaches for regulating the health care system in order to establish rational strategic planning and ensure the best use of the available resources. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Panagiotis Mitropoulos & Ioannis Mitropoulos & Ioannis Giannikos & Aris Sissouras, 2006. "A biobjective model for the locational planning of hospitals and health centers," Health Care Management Science, Springer, vol. 9(2), pages 171-179, May.
    • Handle: RePEc:kap:hcarem:v:9:y:2006:i:2:p:171-179
    DOI: 10.1007/s10729-006-7664-9
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    2. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.
    3. Acar, Müge & Kaya, Onur, 2019. "A healthcare network design model with mobile hospitals for disaster preparedness: A case study for Istanbul earthquake," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 273-292.
    4. Mendoza-Gómez, Rodolfo & Ríos-Mercado, Roger Z., 2022. "Regionalization of primary health care units with multi-institutional collaboration," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    5. Manupati, Vijaya Kumar & Schoenherr, Tobias & Wagner, Stephan M. & Soni, Bhanushree & Panigrahi, Suraj & Ramkumar, M., 2021. "Convalescent plasma bank facility location-allocation problem for COVID-19," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    6. Mina Haghshenas & Arash Nemati & Ebrahim Asadi-Gangraj, 2024. "Using new fuzzy regression aptness and healthcare equity indices in cancer hospitals network design: a fuzzy multi-objective mathematical model," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1472-1506, September.
    7. Mousazadeh, M. & Torabi, S. Ali & Pishvaee, M.S. & Abolhassani, F., 2018. "Accessible, stable, and equitable health service network redesign: A robust mixed possibilistic-flexible approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 113-129.
    8. Mestre, Ana Maria & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana Paula, 2015. "Location–allocation approaches for hospital network planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 240(3), pages 791-806.
    9. Mahar, Stephen & Bretthauer, Kurt M. & Salzarulo, Peter A., 2011. "Locating specialized service capacity in a multi-hospital network," European Journal of Operational Research, Elsevier, vol. 212(3), pages 596-605, August.
    10. Zhou, Liping & Geng, Na & Jiang, Zhibin & Wang, Xiuxian, 2018. "Multi-objective capacity allocation of hospital wards combining revenue and equity," Omega, Elsevier, vol. 81(C), pages 220-233.
    11. Alexandris, George & Giannikos, Ioannis, 2010. "A new model for maximal coverage exploiting GIS capabilities," European Journal of Operational Research, Elsevier, vol. 202(2), pages 328-338, April.
    12. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2015. "An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations," European Journal of Operational Research, Elsevier, vol. 247(1), pages 321-334.
    13. Elisabetta Listorti & Arianna Alfieri & Erica Pastore, 2022. "Hospital volume allocation: integrating decision maker and patient perspectives," Health Care Management Science, Springer, vol. 25(2), pages 237-252, June.
    14. Graber-Naidich, Anna & Carter, Michael W. & Verter, Vedat, 2017. "Restructuring the resident training system for improving the equity of access to primary care," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1143-1155.
    15. Afshin Kordi & Arash Nemati, 2024. "Simultaneous sensitivity analysis of mixed-integer location-allocation models using machine learning tools: cancer hospitals’ network design," Operational Research, Springer, vol. 24(2), pages 1-32, June.
    16. Karakaya, Şakir & Meral, Sedef, 2022. "A biobjective hierarchical location-allocation approach for the regionalization of maternal-neonatal care," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

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