IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v32y2012i1p105-117.html
   My bibliography  Save this article

Decision Making for HIV Prevention and Treatment Scale up

Author

Listed:
  • Sabina S. Alistar
  • Margaret L. Brandeau

Abstract

Background . Effectively controlling the HIV epidemic will require efficient use of limited resources. Despite ambitious global goals for HIV prevention and treatment scale up, few comprehensive practical tools exist to inform such decisions. Methods . We briefly summarize modeling approaches for resource allocation for epidemic control, and discuss the practical limitations of these models. We describe typical challenges of HIV resource allocation in practice and some of the tools used by decision makers. We identify the characteristics needed in a model that can effectively support planners in decision making about HIV prevention and treatment scale up. Results . An effective model to support HIV scale-up decisions will be flexible, with capability for parameter customization and incorporation of uncertainty. Such a model needs certain key technical features: it must capture epidemic effects; account for how intervention effectiveness depends on the target population and the level of scale up; capture benefit and cost differentials for packages of interventions versus single interventions, including both treatment and prevention interventions; incorporate key constraints on potential funding allocations; identify optimal or near-optimal solutions; and estimate the impact of HIV interventions on the health care system and the resulting resource needs. Additionally, an effective model needs a user-friendly design and structure, ease of calibration and validation, and accessibility to decision makers in all settings. Conclusions . Resource allocation theory can make a significant contribution to decision making about HIV prevention and treatment scale up. What remains now is to develop models that can bridge the gap between theory and practice.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:medema:v:32:y:2012:i:1:p:105-117
    DOI: 10.1177/0272989X10391808
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X10391808
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X10391808?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Broomberg, Jonathan & Soderlund, Neil & Mills, Anne, 1996. "Economic analysis at the global level: a resource requirement model for HIV prevention in developing countries," Health Policy, Elsevier, vol. 38(1), pages 45-65, October.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kjell Hausken & Mthuli Ncube, 2020. "Game theoretic analysis of persons, the pharmaceutical industry, and donors in disease contraction and recovery," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-17, December.
    2. Robyn M Stuart & Cliff C Kerr & Hassan Haghparast-Bidgoli & Janne Estill & Laura Grobicki & Zofia Baranczuk & Lorena Prieto & Vilma Montañez & Iyanoosh Reporter & Richard T Gray & Jolene Skordis-Worra, 2017. "Getting it right when budgets are tight: Using optimal expansion pathways to prioritize responses to concentrated and mixed HIV epidemics," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.
    3. Sarah Kok & Alexander Rutherford & Reka Gustafson & Rolando Barrios & Julio Montaner & Krisztina Vasarhelyi, 2015. "Optimizing an HIV testing program using a system dynamics model of the continuum of care," Health Care Management Science, Springer, vol. 18(3), pages 334-362, September.
    4. Sabina Alistar & Elisa Long & Margaret Brandeau & Eduard Beck, 2014. "HIV epidemic control—a model for optimal allocation of prevention and treatment resources," Health Care Management Science, Springer, vol. 17(2), pages 162-181, June.
    5. Hausken, Kjell & Ncube, Mthuli, 2015. "Policy-Makers, the International Community and People Living with HIV: The Need for New Commitment Mechanisms," UiS Working Papers in Economics and Finance 2015/6, University of Stavanger.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Sérgio Santos & Carla Amado & Mauro Santos, 2012. "Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis," Health Care Management Science, Springer, vol. 15(3), pages 206-222, September.
    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. Steffen Flessa, 2009. "Cost effectiveness of antiretrovirals — long term or short term?," Applied Health Economics and Health Policy, Springer, vol. 7(4), pages 225-227, December.
    6. Linus Nyiwul, 2021. "Epidemic Control and Resource Allocation: Approaches and Implications for the Management of COVID-19," Studies in Microeconomics, , vol. 9(2), pages 283-305, December.
    7. 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.
    8. Sabina Alistar & Elisa Long & Margaret Brandeau & Eduard Beck, 2014. "HIV epidemic control—a model for optimal allocation of prevention and treatment resources," Health Care Management Science, Springer, vol. 17(2), pages 162-181, June.
    9. 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.
    10. 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.
    11. Chih-Ching Yang, 2017. "Measuring health indicators and allocating health resources: a DEA-based approach," Health Care Management Science, Springer, vol. 20(3), pages 365-378, September.
    12. Simon Dixon & Scott McDonald & Jennifer Roberts, 2001. "HIV|AIDS and development in Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(4), pages 381-389.
    13. Maass, Kayse Lee & Trapp, Andrew C. & Konrad, Renata, 2020. "Optimizing placement of residential shelters for human trafficking survivors," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    14. Nguenda anya Saturnin bertrand, 2017. "An analysis of the efficiency of the National Programme for the Fight against HIV/AIDs in Cameroon," Economics Bulletin, AccessEcon, vol. 37(2), pages 1068-1076.
    15. 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.
    16. Sanjay Mehrotra & Kibaek Kim, 2011. "Outcome based state budget allocation for diabetes prevention programs using multi-criteria optimization with robust weights," Health Care Management Science, Springer, vol. 14(4), pages 324-337, November.
    17. Shengfan Zhang & Julie Ivy & Fay Payton & Kathleen Diehl, 2010. "Modeling the impact of comorbidity on breast cancer patient outcomes," Health Care Management Science, Springer, vol. 13(2), pages 137-154, June.
    18. Robyn M Stuart & Cliff C Kerr & Hassan Haghparast-Bidgoli & Janne Estill & Laura Grobicki & Zofia Baranczuk & Lorena Prieto & Vilma Montañez & Iyanoosh Reporter & Richard T Gray & Jolene Skordis-Worra, 2017. "Getting it right when budgets are tight: Using optimal expansion pathways to prioritize responses to concentrated and mixed HIV epidemics," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.
    19. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2015. "An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations," European Journal of Operational Research, Elsevier, vol. 247(1), pages 321-334.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:32:y:2012:i:1:p:105-117. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.