A linear programming model for allocating HIV prevention funds with state agencies: a pilot study.
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.
Earnshaw
Stephanie R
SR
RTI Health Solutions, RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709, USA. searnshaw@rti.org
Hicks
Katherine
K
Richter
Anke
A
Honeycutt
Amanda
A
D003657:Decision Making; D017598:Efficiency, Organizational / Q000191:economics; D005260:Female; D005380:Financing, Government / Q000191:economics / Q000379:methods; D005431:Florida; D006077:Government Agencies / Q000191:economics; D015658:HIV Infections / Q000517:prevention & control* / Q000635:transmission; D015276:Health Care Rationing / Q000191:economics* / Q000379:methods*; D006291:Health Policy / Q000191:economics; D018451:Homosexuality, Male; D006801:Humans; D008297:Male; D018803:Models, Economic; D010865:Pilot Projects; D011382:Programming, Linear; D012307:Risk Factors; D015819:Substance Abuse, Intravenous
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