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Matching patient and physician preferences in designing a primary care facility network

Author

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  • E D Güneş

    (Koç University, Istanbul, Turkey)

  • H Yaman

    (Bilkent University, Ankara, Turkey)

  • B Çekyay

    (Doğuş University, Istanbul, Turkey)

  • V Verter

    (McGill University, Quebec, Canada)

Abstract

This paper introduces an integer programming model for planning primary care facility networks, which accounts for the interests of different stakeholders while maximizing access to health care. Physician allocation to health-care facilities is explicitly modelled, which allows consideration of physician incentives in the planning phase. An illustrative case study in the Turkish primary care system is presented to show the implications of focusing on patient or physician preferences in the planning phase. A discussion of trade-offs between the different stakeholder preferences and some recommendations for modelling choices to match these preferences are provided. In the context of this case, we found that using an access measure that decays with distance, and incorporating nearest allocation constraints improves performance for all stakeholders. We also show that increasing the number of physicians may have adverse affects on access measures when physician preferences are addressed.

Suggested Citation

  • E D Güneş & H Yaman & B Çekyay & V Verter, 2014. "Matching patient and physician preferences in designing a primary care facility network," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(4), pages 483-496, April.
  • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:4:p:483-496
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    Citations

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    Cited by:

    1. Noriko Irie & Ryusei Iwamura & Kaho Sugiura & Naoko Kawahara, 2022. "Siting Renewable Energy Facilities Using a Matching Algorithm: A Case Study in Japan," Land, MDPI, vol. 12(1), pages 1-15, December.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Kucukyazici, Beste & Zhang, Yue & Ardestani-Jaafari, Amir & Song, Lijie, 2020. "Incorporating patient preferences in the design and operation of cancer screening facility networks," European Journal of Operational Research, Elsevier, vol. 287(2), pages 616-632.
    7. 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.
    8. Bruno, Giuseppe & Cavola, Manuel & Diglio, Antonio & Piccolo, Carmela, 2020. "Improving spatial accessibility to regional health systems through facility capacity management," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    9. Navneet Vidyarthi & Onur Kuzgunkaya, 2015. "The impact of directed choice on the design of preventive healthcare facility network under congestion," Health Care Management Science, Springer, vol. 18(4), pages 459-474, December.
    10. Morgan, Jennifer Sian & Graber-Naidich, Anna, 2019. "Small system dynamics model for alleviating the general practitioners rural care gap in Ontario, Canada," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 10-23.
    11. Huaxin Qiu & Dujuan Wang & Yanzhang Wang & Yunqiang Yin, 2019. "MRI appointment scheduling with uncertain examination time," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 62-82, January.
    12. Zhou, Shenghai & Li, Debiao & Yin, Yong, 2021. "Coordinated appointment scheduling with multiple providers and patient-and-physician matching cost in specialty care," Omega, Elsevier, vol. 101(C).
    13. Li Wang & Huan Shi & Lu Gan, 2018. "Healthcare Facility Location-Allocation Optimization for China’s Developing Cities Utilizing a Multi-Objective Decision Support Approach," Sustainability, MDPI, vol. 10(12), pages 1-22, December.

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