Allocating Scarce Healthcare Resources in Developing Countries: A Case for Malaria Prevention

  • Jacqueline Griffin
  • Pinar Keskinocak
  • Julie Swann
Chapter

Abstract

Decisions regarding the best use of scarce health resources become increasingly complex in developing countries due to high disease incidence, poor healthcare system infrastructure, and other societal factors. We develop a resource allocation model for the design of an Indoor Residual Spraying (IRS) program for malaria prevention in developing countries. Due to the seasonal nature of malaria risk factors, the model addresses dynamic resource allocation based on the risk characteristics. Using the model as a framework, a decision support tool for IRS operations is constructed. With a small numerical example we demonstrate the value of the tool for evaluating complexities and tradeoffs in the allocation of limited resources for an IRS program and the impact of heuristic decision making.

References

  1. Alistar S, Brandeau ML (2012) Decision making for HIV prevention and treatment scale up bridging the gap between theory and practice. Med Decis Making 32(1):105–117CrossRefGoogle Scholar
  2. Balcik B, Beamon B, Smilowitz K (2008) Last mile distribution in Humanitarian relief. J Intell Transport Syst 12(2):51–63CrossRefGoogle Scholar
  3. Brandeau ML, Zaric GS, Richter A (2003) Resource allocation for control of infectious diseases in multiple independent populations: Beyond cost-effectiveness analysis. J Health Econ 22(4):575–598CrossRefGoogle Scholar
  4. Carr CC, Jallah JD (2008) Improving spatial accessibility to antiretroviral treatments for HIV/AIDS. Ph.D. thesis, University of ZaragozaGoogle Scholar
  5. Centers for Disease Control and Prevention Division of Parasitic Disease: Malaria Worldwide - Impact of Malaria (2010) Accessed 1 May, 2012. http://www.cdc.gov/malaria/malaria_worldwide/impact.html
  6. Cox J, Craig M, Le Sueur D, Sharp B (1999) Mapping malaria risk in the highlands of Africa. Tech. Rep., December 1999Google Scholar
  7. Craig M, Snow R, Le Sueur D (1999) A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitol Today 15(3):105–110CrossRefGoogle Scholar
  8. Deo S, Sohoni M (2011) Decentralization of resource-constrained health care networks: Access vs. accuracy tradeoff and network externality. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1754642
  9. Epstein D, Chalabi Z, Claxton K, Sculpher M (2006) Mathematical programming for the optimal allocation of health care resources. https://www.york.ac.uk/media/che/documents/papers/mathprog.pdf
  10. Flessa S (2000) Where efficiency saves lives: A linear programme for the optimal allocation of health care resources in developing countries. Health Care Manag Sci 3:249–267CrossRefGoogle Scholar
  11. Hansen K, Chapman G (2008) Setting priorities for the health care sector in Zimbabwe using cost-effectiveness analysis and estimates of the burden of disease. Cost Effect Resource Allocation 6(1):14CrossRefGoogle Scholar
  12. Kiszewski A, Johns B, Schapira A, Delacollette C, Crowell V, Tan-Torres T, Ameneshewa B, Teklehaimanot A, Nafo-Traoré F (2007) Estimated global resources needed to attain international malaria control goals. Bull World Health Organ 85(8):623–630CrossRefGoogle Scholar
  13. Lasry A, Zaric GS, Carter MW (2007) Multi-level resource allocation for HIV prevention: A model for developing countries. Eur J Oper Res 180(2):786–799CrossRefGoogle Scholar
  14. Lasry A, Carter MW, Zaric GS (2008) S4HARA: System for HIV/AIDS resource allocation. Cost Effect Resource Allocation 6:7CrossRefGoogle Scholar
  15. Lee B, Brown S, Korch G, Cooley P, Zimmerman R, Wheaton W, Zimmer S, Grefenstette J, Bailey R, Assi T, Burke DS (2010) A computer simulation of vaccine prioritization, allocation, and rationing during the 2009 H1N1 influenza pandemic. Vaccine 28(31):4875–4879CrossRefGoogle Scholar
  16. Mapping Malaria Risk in Africa: Mapping Malaria Risk in Africa (2004) http://www.mara.org.za
  17. Ndiaye M, Alfares H (2008) Modeling health care facility location for moving population groups. Comp Oper Res 35(7):2154–2161CrossRefGoogle Scholar
  18. Oppong J (1996) Accommodating the rainy season in third World location-allocation applications. Soc-Econ Plann Sci 30(2):121–137CrossRefGoogle Scholar
  19. Over M, Bakote’e B, Velayudhan R, Wilikai P, Graves PM (2004) Impregnated nets or DDT residual spraying? Field effectiveness of malaria prevention techniques in Solomon Islands, 1993–1999. Am J Trop Med Hyg 71(Suppl 2):214–223Google Scholar
  20. Rahman S, Smith DK (2000) Use of location-allocation models in health service development planning in developing nations. Eur J Oper Res 123(3):437–452. doi:10.1016/S0377-2217(99)00289-1CrossRefGoogle Scholar
  21. Snow RW, Guerra CA, Mutheu JJ, Hay SI (2008) International funding for malaria control in relation to populations at risk of stable Plasmodium falciparum transmission. PLoS Med 5(7):e142CrossRefGoogle Scholar
  22. Thomson MC, Doblas-Reyes FJ, Mason SJ, Hagedorn R, Connor SJ, Phindela T, Morse AP, Palmer TN (2006) Malaria early warnings based on seasonal climate forecasts from multi-model ensembles. Nature 439:576–579CrossRefGoogle Scholar
  23. United Nations Foundation: Nothing but nets: About the campaign (2012) http://www.nothingbutnets.net/about-us/
  24. Wilson D, Kahn J (2006) Predicting the epidemiological impact of antiretroviral allocation strategies in KwaZulu-Natal: The effect of the urban–rural divide. Proc Natl Acad Sci USA 103(38):14228–14233CrossRefGoogle Scholar
  25. Wilson DP, Blower SM (2005) Designing equitable antiretroviral allocation strategies in resource-constrained countries. PLoS Med 2(2):e50CrossRefGoogle Scholar
  26. World Health Organization: Public Health Mapping and GIS: The HealthMapper (2012) http://www.who.int/health_mapping/tools/healthmapper/en/
  27. Zaric GS, Brandeau M (2002) Dynamic resource allocation for epidemic control in multiple populations. IMA J Math Appl Med Biol 19:235–255CrossRefGoogle Scholar
  28. Zaric GS, Brandeau ML (2001) Resource allocation for epidemic control over short time horizons. Math Biosci 171(1):33–58CrossRefGoogle Scholar
  29. Zaric GS, Brandeau ML (2007) A little planning goes a long way: Multilevel allocation of HIV prevention resources. Med Decis Making: Int J Soc Med Decis Making 27(1):71–81CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Jacqueline Griffin
    • 1
  • Pinar Keskinocak
    • 2
  • Julie Swann
    • 2
  1. 1.Northeastern UniversityBostonUSA
  2. 2.Georgia Institute of TechnologyAtlantaUSA

Personalised recommendations