Health Care Management Science

, Volume 10, Issue 3, pp 239–252

A linear programming model for allocating HIV prevention funds with state agencies: a pilot study

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


Given the initiatives to improve resource allocation decisions for HIV prevention activities, a linear programming model was designed specifically for use by state and local decision-makers. A pilot study using information from the state of Florida was conducted and studied under a series of scenarios depicting the impact of common resource allocation constraints. Improvements over the past allocation strategy in the number of potential infections averted were observed in all scenarios with a maximal improvement of 73%. When allocating limited resources, policymakers must balance efficiency and equity. In this pilot study, the optimal allocation (i.e., most-efficient strategy) would not distribute resources in an equitable manner. Instead, only 12% of at-risk people would receive prevention funds. We find that less efficient strategies, where 58% fewer infections are averted, result in significantly more equitable allocations. This tool serves as a guide for allocating funds for prevention activities.


HIV/AIDS Resource allocation Linear program Prevention Economic model State funding decisions Efficiency Equity 


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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Stephanie R. Earnshaw
    • 1
  • Katherine Hicks
    • 1
  • Anke Richter
    • 2
  • Amanda Honeycutt
    • 1
  1. 1.RTI Health SolutionsRTI InternationalResearch Triangle ParkUSA
  2. 2.Naval Post Graduate SchoolMontereyUSA

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