Literature DB >> 11575489

Optimal investment in a portfolio of HIV prevention programs.

G S Zaric1, M L Brandeau.   

Abstract

OBJECTIVES: In this article, the authors determine the optimal allocation of HIV prevention funds and investigate the impact of different allocation methods on health outcomes.
METHODS: The authors present a resource allocation model that can be used to determine the allocation of HIV prevention funds that maximizes quality-adjusted life years (or life years) gained or HIV infections averted in a population over a specified time horizon. They apply the model to determine the allocation of a limited budget among 3 types of HIV prevention programs in a population of injection drug users and nonusers: needle exchange programs, methadone maintenance treatment, and condom availability programs. For each prevention program, the authors estimate a production function that relates the amount invested to the associated change in risky behavior.
RESULTS: The authors determine the optimal allocation of funds for both objective functions for a high-prevalence population and a low-prevalence population. They also consider the allocation of funds under several common rules of thumb that are used to allocate HIV prevention resources. It is shown that simpler allocation methods (e.g., allocation based on HIV incidence or notions of equity among population groups) may lead to alloctions that do not yield the maximum health benefit.
CONCLUSIONS: The optimal allocation of HIV prevention funds in a population depends on HIV prevalence and incidence, the objective function, the production functions for the prevention programs, and other factors. Consideration of cost, equity, and social and political norms may be important when allocating HIV prevention funds. The model presented in this article can help decision makers determine the health consequences of different allocations of funds.

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Year:  2001        PMID: 11575489     DOI: 10.1177/0272989X0102100506

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  19 in total

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3.  Improved allocation of HIV prevention resources: using information about prevention program production functions.

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6.  Decision making for HIV prevention and treatment scale up: bridging the gap between theory and practice.

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7.  Optimal investment in HIV prevention programs: more is not always better.

Authors:  Margaret L Brandeau; Gregory S Zaric
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8.  Preventing HIV in injection drug users: choosing the best mix of interventions for the population.

Authors:  Amy R Wilson; James G Kahn
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9.  Incentives for Optimal Multi-level Allocation of HIV Prevention Resources.

Authors:  Monali M Malvankar; Gregory S Zaric
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10.  Recommendations for increasing the use of HIV/AIDS resource allocation models.

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