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Geographic Resource Allocation Based on Cost Effectiveness: An Application to Malaria Policy

Author

Listed:
  • Tom L. Drake

    (Myanmar Oxford Clinical Research Unit
    University of Oxford
    Mahidol University)

  • Yoel Lubell

    (University of Oxford
    Mahidol University)

  • Shwe Sin Kyaw

    (Myanmar Oxford Clinical Research Unit)

  • Angela Devine

    (Mahidol University)

  • Myat Phone Kyaw

    (Ministry of Health)

  • Nicholas P. J. Day

    (University of Oxford
    Mahidol University)

  • Frank M. Smithuis

    (Myanmar Oxford Clinical Research Unit
    University of Oxford)

  • Lisa J. White

    (University of Oxford
    Mahidol University)

Abstract

Healthcare services are often provided to a country as a whole, though in many cases the available resources can be more effectively targeted to specific geographically defined populations. In the case of malaria, risk is highly geographically heterogeneous, and many interventions, such as insecticide-treated bed nets and malaria community health workers, can be targeted to populations in a way that maximises impact for the resources available. This paper describes a framework for geographically targeted budget allocation based on the principles of cost-effectiveness analysis and applied to priority setting in malaria control and elimination. The approach can be used with any underlying model able to estimate intervention costs and effects given relevant local data. Efficient geographic targeting of core malaria interventions could significantly increase the impact of the resources available, accelerating progress towards elimination. These methods may also be applicable to priority setting in other disease areas.

Suggested Citation

  • Tom L. Drake & Yoel Lubell & Shwe Sin Kyaw & Angela Devine & Myat Phone Kyaw & Nicholas P. J. Day & Frank M. Smithuis & Lisa J. White, 2017. "Geographic Resource Allocation Based on Cost Effectiveness: An Application to Malaria Policy," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 299-306, June.
    • Handle: RePEc:spr:aphecp:v:15:y:2017:i:3:d:10.1007_s40258-017-0305-2
    DOI: 10.1007/s40258-017-0305-2
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    References listed on IDEAS

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    1. Cookson, Richard & Drummond, Mike & Weatherly, Helen, 2009. "Explicit incorporation of equity considerations into economic evaluation of public health interventions – reply to Richardson and Shiell," Health Economics, Policy and Law, Cambridge University Press, vol. 4(2), pages 261-263, April.
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    7. Tom L. Drake & Yoel Lubell, 2017. "Malaria and Economic Evaluation Methods: Challenges and Opportunities," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 291-297, June.
    8. Gafni, Amiram & Birch, Stephen, 2006. "Incremental cost-effectiveness ratios (ICERs): The silence of the lambda," Social Science & Medicine, Elsevier, vol. 62(9), pages 2091-2100, May.
    9. Birch, Stephen & Gafni, Amiram, 1993. "Changing the problem to fit the solution: Johannesson and Weinstein's (mis) application of economics to real world problems," Journal of Health Economics, Elsevier, vol. 12(4), pages 469-476, December.
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    Cited by:

    1. Linus Nyiwul, 2021. "Epidemic Control and Resource Allocation: Approaches and Implications for the Management of COVID-19," Studies in Microeconomics, , vol. 9(2), pages 283-305, December.
    2. Zachary Predmore, 2019. "Cost-effectiveness Analysis and Geographic Variation in Health Care Costs in the United States," Medical Decision Making, , vol. 39(1), pages 3-4, January.
    3. Tom L. Drake & Yoel Lubell, 2017. "Malaria and Economic Evaluation Methods: Challenges and Opportunities," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 291-297, June.

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