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Allocating HIV prevention resources: A tool for state and local decision making

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  • Richter, Anke
  • Hicks, Katherine A.
  • Earnshaw, Stephanie R.
  • Honeycutt, Amanda A.

Abstract

The CDC provides funding for HIV prevention activities and state and local decision-makers must allocate these funds. The implementation of a resource allocation tool designed to facilitate this process that incorporates concepts of efficiency and equity as well as CDC mandates on the use of community planning groups is demonstrated, showing how information obtained from the resource allocation tool can be used to guide the policy analysis. The demonstration uses a simplified example based on data from Florida. The tool quantifies the inherent trade-offs associated with efficiency and equity and allows decision-makers to explore different ways of achieving equity. Given the underlying epidemiological model, results are not necessarily linear so common proportionality assumptions do not hold. However, a sense of equity can be provided by implementing various metrics allowing the policy maker flexibility in their decision process. By quantifying the impact of policy choices in terms of efficiency, cost, and distribution, the resource allocation tool makes the decision process more transparent and permits more informed choices.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:hepoli:v:87:y:2008:i:3:p:342-349
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    References listed on IDEAS

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    1. 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.
    2. James G. Kahn & Margaret L. Brandeau & John Dunn-Mortimer, 1998. "OR Modeling and AIDS Policy: From Theory to Practice," Interfaces, INFORMS, vol. 28(3), pages 3-22, June.
    3. Kaplan, Edward H. & Pollack, Harold, 1998. "Allocating HIV Prevention Resources," Socio-Economic Planning Sciences, Elsevier, vol. 32(4), pages 257-263, December.
    4. A. J. Culyer, 1992. "The morality of efficiency in health care—some uncomfortable implications," Health Economics, John Wiley & Sons, Ltd., vol. 1(1), pages 7-18, April.
    5. Brandeau, Margaret L. & Zaric, Gregory S. & Richter, Anke, 2003. "Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis," Journal of Health Economics, Elsevier, vol. 22(4), pages 575-598, July.
    6. Stinnett, Aaron A. & Paltiel, A. David, 1996. "Mathematical programming for the efficient allocation of health care resources," Journal of Health Economics, Elsevier, vol. 15(5), pages 641-653, October.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.

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