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Optimal location of public health centres which provide free and paid services

Author

Listed:
  • V Marianov

    (The Catholic University of Chile)

  • P Taborga

    (The Catholic University of Chile)

Abstract

A model and a heuristic are presented for finding the most effective location of public health centres providing non-vital services in competition with existing private health centres. While private centres provide only services to customers who can pay for them, public centres provide both paid services to affluent customers, and subsidised services to customers belonging to low-income groups (a hierarchical structure). While low-income customers are assigned to fixed public centres, high-income customers can choose which centre to patronise. To find the solution of this problem, the equilibrium between maximum coverage of low-income population (within a pre-specified distance), and an adequate capture of high-income population must be found. Thus, in the public service, the revenues obtained from paid services are used to partly cover the costs of the subsidised services, and the number of centres that can be located depends on how many high-income clients can be captured. Capture of a high-income client happens when a public centre is located closer to the client than any of the existing private centres. Computational experience with optimal, as well as special heuristic, methods for solving this problem is described.

Suggested Citation

  • V Marianov & P Taborga, 2001. "Optimal location of public health centres which provide free and paid services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(4), pages 391-400, April.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:4:d:10.1057_palgrave.jors.2601103
    DOI: 10.1057/palgrave.jors.2601103
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    Citations

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    Cited by:

    1. I Gac & F Martínez & A Weintraub, 2009. "A deterministic linear optimization model for allocating schools to zones," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 895-905, July.
    2. 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).
    3. Dong-Guen Kim & Yeong-Dae Kim, 2013. "A Lagrangian heuristic algorithm for a public healthcare facility location problem," Annals of Operations Research, Springer, vol. 206(1), pages 221-240, July.
    4. Sagarkumar Hirpara & Monit Vaishnav & Pratik J. Parikh & Nan Kong & Priti Parikh, 2022. "Locating trauma centers considering patient safety," Health Care Management Science, Springer, vol. 25(2), pages 291-310, June.
    5. Ivana Kraftová & Lenka Kašparová, 2017. "Assessment of the financial health of regional emergency medical services in the Czech Republic using the BAMF model," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(2), pages 340-353, March.

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