IDEAS home Printed from https://ideas.repec.org/a/kap/hcarem/v15y2012i4p327-338.html
   My bibliography  Save this article

Optimal incentives for allocating HIV/AIDS prevention resources among multiple populations

Author

Listed:
  • Monali Malvankar-Mehta
  • Bin Xie

Abstract

Many agencies, such as the United Nations Program on HIV/AIDS (UNAIDS), the World Health Organization (WHO), the World Bank, the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR), and the Global Fund to Fight AIDS, Tuberculosis and Malaria, provide funding to prevent HIV/AIDS infections worldwide. These funds are allocated at multiple levels, resulting in a highly complicated distribution process. An oversight agency allocates funds to various national-level decision-makers who then allocate funds to regional-level decision-makers who in turn distribute the monies to local organizations, programs, or risk groups. Simple allocation techniques are often preferred by the decision-makers at each administrative level, but such methods can lead to sub-optimal allocation of funds. Thus, incentives could be provided to decisionmakers in order to encourage optimal allocation of HIV/AIDS prevention resources. We formulate an incentive-based resource allocation model that takes into consideration strategic interactions between decision-makers in a multiple-level resource-allocation process. We analyze each decision-maker’s behavior at the equilibrium and summarize the results that characterize the optimal solution to the resource-allocation problem. Our intended audiences are technical experts, decision-makers, and policy-makers in governments who can make use of incentives to encourage effective decisions regarding HIV/AIDS policy modeling and budget allocation at local levels. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Monali Malvankar-Mehta & Bin Xie, 2012. "Optimal incentives for allocating HIV/AIDS prevention resources among multiple populations," Health Care Management Science, Springer, vol. 15(4), pages 327-338, December.
    • Handle: RePEc:kap:hcarem:v:15:y:2012:i:4:p:327-338
    DOI: 10.1007/s10729-012-9194-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10729-012-9194-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10729-012-9194-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David M. Epstein & Zaid Chalabi & Karl Claxton & Mark Sculpher, 2007. "Efficiency, Equity, and Budgetary Policies," Medical Decision Making, , vol. 27(2), pages 128-137, March.
    2. McPake, Barbara & Hanson, Kara & Adam, Christopher, 2007. "Two-tier charging strategies in public hospitals: Implications for intra-hospital resource allocation and equity of access to hospital services," Journal of Health Economics, Elsevier, vol. 26(3), pages 447-462, May.
    3. Xuanming Su & Stefanos A. Zenios, 2006. "Recipient Choice Can Address the Efficiency-Equity Trade-off in Kidney Transplantation: A Mechanism Design Model," Management Science, INFORMS, vol. 52(11), pages 1647-1660, November.
    4. Richter, Anke & Hicks, Katherine A. & Earnshaw, Stephanie R. & Honeycutt, Amanda A., 2008. "Allocating HIV prevention resources: A tool for state and local decision making," Health Policy, Elsevier, vol. 87(3), pages 342-349, September.
    5. Gregory S. Zaric & Margaret L. Brandeau, 2007. "A Little Planning Goes a Long Way: Multilevel Allocation of HIV Prevention Resources," Medical Decision Making, , vol. 27(1), pages 71-81, January.
    6. X Li & P Beullens & D Jones & M Tamiz, 2009. "An integrated queuing and multi-objective bed allocation model with application to a hospital in China," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 330-338, March.
    7. Margaret Brandeau & Gregory Zaric, 2009. "Optimal investment in HIV prevention programs: more is not always better," Health Care Management Science, Springer, vol. 12(1), pages 27-37, March.
    8. Richard M. Bird & François Vaillancourt, 2006. "Perspectives on Fiscal Federalism," World Bank Publications - Books, The World Bank Group, number 6953, December.
    9. Peng Sun & Liu Yang & Francis de Véricourt, 2009. "Selfish Drug Allocation for Containing an International Influenza Pandemic at the Onset," Operations Research, INFORMS, vol. 57(6), pages 1320-1332, December.
    10. Stephen E. Chick & Hamed Mamani & David Simchi-Levi, 2008. "Supply Chain Coordination and Influenza Vaccination," Operations Research, INFORMS, vol. 56(6), pages 1493-1506, December.
    11. Lasry, Arielle & Zaric, Gregory S. & Carter, Michael W., 2007. "Multi-level resource allocation for HIV prevention: A model for developing countries," European Journal of Operational Research, Elsevier, vol. 180(2), pages 786-799, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Md Hafizul Islam & Julie Simmons Ivy, 2022. "Modeling the role of efficiency for the equitable and effective distribution of donated food," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 485-534, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    3. Stephanie Earnshaw & Katherine Hicks & Anke Richter & Amanda Honeycutt, 2007. "A linear programming model for allocating HIV prevention funds with state agencies: a pilot study," Health Care Management Science, Springer, vol. 10(3), pages 239-252, September.
    4. Westerink-Duijzer, L.E. & Schlicher, L.P.J. & Musegaas, M., 2019. "Fair allocations for cooperation problems in vaccination," Econometric Institute Research Papers EI2019-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Nadia Demarteau & Thomas Breuer & Baudouin Standaert, 2012. "Selecting a Mix of Prevention Strategies against Cervical Cancer for Maximum Efficiency with an Optimization Program," PharmacoEconomics, Springer, vol. 30(4), pages 337-353, April.
    6. Lotty E. Westerink‐Duijzer & Loe P. J. Schlicher & Marieke Musegaas, 2020. "Core Allocations for Cooperation Problems in Vaccination," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1720-1737, July.
    7. Xiaoyan Xu & Suresh P. Sethi & Sai‐Ho Chung & Tsan‐Ming Choi, 2023. "Reforming global supply chain management under pandemics: The GREAT‐3Rs framework," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 524-546, February.
    8. Sabina S. Alistar & Margaret L. Brandeau, 2012. "Decision Making for HIV Prevention and Treatment Scale up," Medical Decision Making, , vol. 32(1), pages 105-117, January.
    9. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    10. Hamed Mamani & Stephen E. Chick & David Simchi-Levi, 2013. "A Game-Theoretic Model of International Influenza Vaccination Coordination," Management Science, INFORMS, vol. 59(7), pages 1650-1670, July.
    11. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    12. Andrew J. Mirelman & Miqdad Asaria & Bryony Dawkins & Susan Griffin & Richard Cookson & Peter Berman, 2020. "Fairer Decisions, Better Health for All: Health Equity and Cost-Effectiveness Analysis," World Scientific Book Chapters, in: Paul Revill & Marc Suhrcke & Rodrigo Moreno-Serra & Mark Sculpher (ed.), Global Health Economics Shaping Health Policy in Low- and Middle-Income Countries, chapter 4, pages 99-132, World Scientific Publishing Co. Pte. Ltd..
    13. Anil Aswani & Zuo-Jun Max Shen & Auyon Siddiq, 2019. "Data-Driven Incentive Design in the Medicare Shared Savings Program," Operations Research, INFORMS, vol. 67(4), pages 1002-1026, July.
    14. Roy Bahl, 2012. "Metropolitan City Finances in India: Options for A New Fiscal Architecture," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1233, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    15. Li, Mengling & Riyanto, Yohanes E. & Xu, Menghan, 2023. "Prioritized organ allocation rules under compatibility constraints," Games and Economic Behavior, Elsevier, vol. 141(C), pages 403-427.
    16. Steffen Flessa, 2009. "Cost effectiveness of antiretrovirals — long term or short term?," Applied Health Economics and Health Policy, Springer, vol. 7(4), pages 225-227, December.
    17. De Boeck, Kim & Decouttere, Catherine & Jónasson, Jónas Oddur & Vandaele, Nico, 2022. "Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions," European Journal of Operational Research, Elsevier, vol. 301(1), pages 300-317.
    18. Begen, Mehmet A. & Pun, Hubert & Yan, Xinghao, 2016. "Supply and demand uncertainty reduction efforts and cost comparison," International Journal of Production Economics, Elsevier, vol. 180(C), pages 125-134.
    19. Yaesoubi, Reza & Roberts, Stephen D., 2011. "Payment contracts in a preventive health care system: A perspective from Operations Management," Journal of Health Economics, Elsevier, vol. 30(6), pages 1188-1196.
    20. Baris Ata & Yichuan Ding & Stefanos Zenios, 2021. "An Achievable-Region-Based Approach for Kidney Allocation Policy Design with Endogenous Patient Choice," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 36-54, 1-2.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:hcarem:v:15:y:2012:i:4:p:327-338. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.