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Deployment of rural health facilities in a developing country

Author

Listed:
  • S-U Rahman

    (University of Western Australia)

  • D K Smith

    (University of Exeter)

Abstract

This study describes the problem of finding suitable sites for additional health facilities in a rural area in Bangladesh. The objective is to improve the accessibility of people to the health care system given the existing set of facilities. As is frequently the case in developing countries, activities designed to develop and improve differing sectors of the infrastructure are poorly integrated and ill-coordinated. As a result, decision-makers may make independent and individual decisions about locating new service facilities. Often, as has been the case in Bangladesh, these decisions are taken at a relatively low level, by officers of local government or by elected leaders in a region, or by a combination of these. In the absence of any formal analysis and generation of alternatives, the final decision may be made on political or pragmatic considerations. As a result the decisions are often far from optimal. Ultimately, better health care will enhance many sectors of a regional economy, and so the decision about where to invest in new or better resources is important for reasons over and above that of providing health care for the population. In this paper, the role of location-allocation modelling in developing countries is considered, and the specific Bangladeshi problem is considered as a maximal covering location problem which is solved by an efficient heuristic method.

Suggested Citation

  • S-U Rahman & D K Smith, 1999. "Deployment of rural health facilities in a developing country," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 892-902, September.
    • Handle: RePEc:pal:jorsoc:v:50:y:1999:i:9:d:10.1057_palgrave.jors.2600795
    DOI: 10.1057/palgrave.jors.2600795
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    Citations

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    Cited by:

    1. J P Oddoye & M A Yaghoobi & M Tamiz & D F Jones & P Schmidt, 2007. "A multi-objective model to determine efficient resource levels in a medical assessment unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1563-1573, December.
    2. Areej Alhothali & Budoor Alwated & Kamil Faisal & Sultanah Alshammari & Reem Alotaibi & Nusaybah Alghanmi & Omaimah Bamasag & Manal Bin Yamin, 2022. "Location-Allocation Model to Improve the Distribution of COVID-19 Vaccine Centers in Jeddah City, Saudi Arabia," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    3. Zarrinpoor, Naeme & Fallahnezhad, Mohammad Saber & Pishvaee, Mir Saman, 2018. "The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1013-1032.
    4. E D Güneş & H Yaman, 2010. "Health network mergers and hospital re-planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 275-283, February.
    5. Murawski, Lisa & Church, Richard L., 2009. "Improving accessibility to rural health services: The maximal covering network improvement problem," Socio-Economic Planning Sciences, Elsevier, vol. 43(2), pages 102-110, June.
    6. Roberto Galvão & Luis Espejo & Brian Boffey, 2006. "Practical aspects associated with location planning for maternal and perinatal assistance in Brazil," Annals of Operations Research, Springer, vol. 143(1), pages 31-44, March.
    7. Ratick, Samuel J. & Osleeb, Jeffrey P. & Hozumi, Dai, 2009. "Application and extension of the Moore and ReVelle Hierarchical Maximal Covering Model," Socio-Economic Planning Sciences, Elsevier, vol. 43(2), pages 92-101, June.
    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. Oddoye, J.P. & Jones, D.F. & Tamiz, M. & Schmidt, P., 2009. "Combining simulation and goal programming for healthcare planning in a medical assessment unit," European Journal of Operational Research, Elsevier, vol. 193(1), pages 250-261, February.
    10. Sounderpandian, Jayavel & Prasad, Sameer & Madan, Manu, 2008. "Supplies from developing countries: Optimal order quantities under loss risks," Omega, Elsevier, vol. 36(1), pages 122-130, February.
    11. Galvao, Roberto D. & Acosta Espejo, Luis Gonzalo & Boffey, Brian, 2002. "A hierarchical model for the location of perinatal facilities in the municipality of Rio de Janeiro," European Journal of Operational Research, Elsevier, vol. 138(3), pages 495-517, May.
    12. Sun, Yimeng & Zhao, Eric, 2023. "Mathematical Models for Rural Doctor Service Efficiency: Applying Queuing Theory and Operations Research to Improve Healthcare Services," SocArXiv nvhmf, Center for Open Science.
    13. Mohammadi, M. & Dehbari, S. & Vahdani, Behnam, 2014. "Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 15-41.
    14. Kelley, Jason & Kuby, Michael & Sierra, Rodrigo, 2013. "Transportation network optimization for the movement of indigenous goods in Amazonian Ecuador," Journal of Transport Geography, Elsevier, vol. 28(C), pages 89-100.
    15. Jing Yao & Alan T. Murray, 2014. "Locational Effectiveness of Clinics Providing Sexual and Reproductive Health Services to Women in Rural Mozambique," International Regional Science Review, , vol. 37(2), pages 172-193, April.

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