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A heuristic approach to solve the preventive health care problem with budget and congestion constraints

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  • Davari, Soheil
  • Kilic, Kemal
  • Naderi, Siamak

Abstract

Preventive health care is of utmost importance to governments since they can make massive savings on health care expenditure and promote the well-being of the society. Preventive care includes many services such as cancer screenings, vaccinations, hepatitis screenings, and smoking cessation programs. Despite the benefits of these services, their uptake is not satisfactory in many countries in the world. This can be attributed to financial barriers, social issues., and other factors. One of the most important barriers for preventive care is accessibility to proper services, which is a function of various qualitative and quantitative factors such as the distance to travel, waiting time, vicinity of facilities to other attractive facilities (such as shopping malls), and even the cleanliness of the facilities. Statistics show that even a small improvement in people’s participation can save massive amounts of money for any government and improve the well-being of the people in a society.

Suggested Citation

  • Davari, Soheil & Kilic, Kemal & Naderi, Siamak, 2016. "A heuristic approach to solve the preventive health care problem with budget and congestion constraints," Applied Mathematics and Computation, Elsevier, vol. 276(C), pages 442-453.
    • Handle: RePEc:eee:apmaco:v:276:y:2016:i:c:p:442-453
    DOI: 10.1016/j.amc.2015.11.073
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    Cited by:

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    2. 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.
    3. Jang, Hoon & Lee, Jun-Ho, 2019. "A hierarchical location model for determining capacities of neonatal intensive care units in Korea," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    4. 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.
    5. Hoon Jang, 2019. "Designing capacity rollout plan for neonatal care service system in Korea," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 809-830, September.
    6. Soheil Davari, 2019. "The incremental cooperative design of preventive healthcare networks," Annals of Operations Research, Springer, vol. 272(1), pages 445-492, January.
    7. Kaushal Kumar, 2023. "Location Analysis of Primary Health Care Centers: A Case Study of Mohalla Clinics in Delhi," SN Operations Research Forum, Springer, vol. 4(2), pages 1-29, June.

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