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

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

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

Suggested Citation

  • 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.
  • Handle: RePEc:kap:hcarem:v:10:y:2007:i:3:p:239-252
    DOI: 10.1007/s10729-007-9017-8
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    References listed on IDEAS

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    3. Allison L. Pitt & Jeremy D. Goldhaber-Fiebert & Margaret L. Brandeau, 2020. "Public Health Interventions with Harms and Benefits: A Graphical Framework for Evaluating Tradeoffs," Medical Decision Making, , vol. 40(8), pages 978-989, November.
    4. Karsu, Özlem & Morton, Alec, 2015. "Inequity averse optimization in operational research," European Journal of Operational Research, Elsevier, vol. 245(2), pages 343-359.
    5. 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.
    6. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.
    7. Xuecheng Yin & İ. E. Büyüktahtakın, 2021. "A multi-stage stochastic programming approach to epidemic resource allocation with equity considerations," Health Care Management Science, Springer, vol. 24(3), pages 597-622, September.
    8. Selin Özpeynirci & Özgür Özpeynirci & Vincent Mousseau, 2021. "An interactive algorithm for resource allocation with balance concerns," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 983-1005, December.
    9. Sanjay Mehrotra & Hamed Rahimian & Masoud Barah & Fengqiao Luo & Karolina Schantz, 2020. "A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 303-320, August.
    10. 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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    13. Karsu, Özlem & Morton, Alec, 2014. "Incorporating balance concerns in resource allocation decisions: A bi-criteria modelling approach," Omega, Elsevier, vol. 44(C), pages 70-82.
    14. Susan Cleary & Gavin Mooney & Di McIntyre, 2010. "Equity and efficiency in HIV‐treatment in South Africa: the contribution of mathematical programming to priority setting," Health Economics, John Wiley & Sons, Ltd., vol. 19(10), pages 1166-1180, October.
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    16. 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.
    17. Konrad, Renata A., 2019. "Designing awareness campaigns to counter human trafficking: An analytic approach," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 86-93.
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    20. Jing Yao & Alan T. Murray, 2014. "Locational Effectiveness of Clinics Providing Sexual and Reproductive Health Services to Women in Rural Mozambique," International Regional Science Review, , vol. 37(2), pages 172-193, April.

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