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

Stephanie Earnshaw (), Katherine Hicks, Anke Richter and Amanda Honeycutt

Health Care Management Science, 2007, vol. 10, issue 3, 239-252

Abstract: 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. Copyright Springer Science+Business Media, LLC 2007

Keywords: HIV/AIDS; Resource allocation; Linear program; Prevention; Economic model; State funding decisions; Efficiency; Equity (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (21)

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DOI: 10.1007/s10729-007-9017-8

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