IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v19y1999i2p167-179.html
   My bibliography  Save this article

An Analysis of Optimal Resource Allocation for Prevention of Infection with Human Immunodeficiency Virus (HIV) in Injection Drug Users and Non-Users

Author

Listed:
  • Anke Richter
  • Margaret L. Brandeau
  • Douglas K. Owens

Abstract

Millions of dollars are spent annually to prevent infection with human immunodeficiency virus (HIV) without a thorough understanding of the most effective way to allocate these resources. The authors' objective was to determme the allocation of new resources among prevention programs targeted to a population of injection drug users (IDUs) and a population of non-injection drug users (non-IDUs) that would minimize the total number of incident cases of HIV infection over a given time horizon. They developed a dynamic model of HIV transmission in IDUs and non-IDUs and estimated the rela tionship between prevention program expenditures and reductions in HIV transmission. They evaluated three prevention programs: HIV testing with routine counseling, HIV testing with intensive counseling, and HIV testing and counseling linked to methadone maintenance programs. They modeled a low-risk IDU population (5% HIV prevalence) and a moderate-risk IDU population (10% HIV prevalence). For different available budgets, they determined the allocation of resources among the prevention programs and populations that would minimize the number of new cases of HIV infection over a five-year period, as well as the incremental value of additional prevention funds. The study framework provides a quantitative, systematic approach to funding programs to prevent HIV infection that accounts for HIV transmission dynamics, population size, and the costs and effectiveness of the interventions in reducing HIV transmission. The approach is general and can be used to evaluate a broader group of prevention pro grams and risk populations. This framework thus could enable policy makers and cli nicians to identify a portfolio of programs that provide, collectively, the most benefit for a given budget. Key words: HIV; AIDS; HIV-1; resource allocation; prevention; cost- benefit analysis. (Med Decis Making 1999;19:167-179)

Suggested Citation

  • Anke Richter & Margaret L. Brandeau & Douglas K. Owens, 1999. "An Analysis of Optimal Resource Allocation for Prevention of Infection with Human Immunodeficiency Virus (HIV) in Injection Drug Users and Non-Users," Medical Decision Making, , vol. 19(2), pages 167-179, April.
    • Handle: RePEc:sae:medema:v:19:y:1999:i:2:p:167-179
    DOI: 10.1177/0272989X9901900207
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X9901900207
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X9901900207?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. Charles Reveller & Walter Lynn & Floyd Feldmann, 1969. "An Optimization Model of Tuberculosis Epidemiology," Management Science, INFORMS, vol. 16(4), pages 190-211, December.
    2. Douglas K. Owens & Margaret L. Brandeau & Carol H. Sox, 1998. "Effect of Relapse to High-Risk Behavior on the Costs and Benefits of a Program to Screen Women for Human Immunodeficiency Virus," Interfaces, INFORMS, vol. 28(3), pages 52-74, June.
    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. Sarang Deo & Sameer Mehta & Charles J. Corbett, 2022. "Optimal Scale‐Up of HIV Treatment Programs in Resource‐Limited Settings Under Supply Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 883-905, March.
    2. Elisa F. Long & Eike Nohdurft & Stefan Spinler, 2018. "Spatial Resource Allocation for Emerging Epidemics: A Comparison of Greedy, Myopic, and Dynamic Policies," Manufacturing & Service Operations Management, INFORMS, vol. 20(2), pages 181-198, May.
    3. Wilson, Amy R. & Kahn, James G., 2003. "Preventing HIV in injection drug users: exploring the tradeoffs between interventions," Socio-Economic Planning Sciences, Elsevier, vol. 37(4), pages 269-288, December.
    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. Zoë K. Harris, 2006. "Efficient allocation of resources to prevent HIV infection among injection drug users: the Prevention Point Philadelphia (PPP) needle exchange program," Health Economics, John Wiley & Sons, Ltd., vol. 15(2), pages 147-158, February.

    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. 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.
    2. Biswas, Debajyoti & Alfandari, Laurent, 2022. "Designing an optimal sequence of non‐pharmaceutical interventions for controlling COVID-19," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1372-1391.
    3. Flessa, Steffen, 2003. "Priorities and allocation of health care resources in developing countries: A case-study from the Mtwara region, Tanzania," European Journal of Operational Research, Elsevier, vol. 150(1), pages 67-80, October.
    4. Brandeau, Margaret L. & Zaric, Gregory S. & Richter, Anke, 2003. "Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis," Journal of Health Economics, Elsevier, vol. 22(4), pages 575-598, July.
    5. Benjamin Armbruster & Margaret Brandeau, 2007. "Contact tracing to control infectious disease: when enough is enough," Health Care Management Science, Springer, vol. 10(4), pages 341-355, December.
    6. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    7. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

    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:19:y:1999:i:2:p:167-179. 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.