Improved allocation of HIV prevention resources: using information about prevention program production functions.
Improved allocation of HIV prevention resources: using information about prevention program production functions.
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DOI：
10.1007/s10729-005-5213-6
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发表时间：
2005-02-01
影响因子：
3.6
通讯作者：
de Angelis, Vanda
中科院分区：
文献类型：
--
作者：
Brandeau, Margaret L;Zaric, Gregory S;de Angelis, Vanda
为了有效地分配艾滋病毒预防资源，重要的是要有关于替代预防方案的有效性的信息作为支出的函数。我们把这种关系称为预防计划的“生产函数”。很少有关于艾滋病预防项目的研究报告了这种关系。本文证明了这种信息的价值。我们提出了一个简单的艾滋病预防资源分配模型，并将该模型应用于一个说明性的艾滋病预防资源分配问题。我们表明，没有足够的信息，预防计划的生产函数，次优的决定可能会。我们发现，流行病学数据，如艾滋病毒流行率或发病率的估计，可能无法提供足够的信息，以支持艾滋病毒预防资源的优化配置。我们的研究结果表明，良好的分配，可以获得相当基本的信息预防计划的生产函数的基础上：一个估计的固定成本加上一个单一的估计成本和由此产生的风险降低。我们发现，知识的生产函数是最重要的固定成本高和/或当预算是一个显着的约束因素。我们建议，在最低限度，未来的数据收集的预防计划的有效性，应包括固定和可变成本估计的干预措施时，实施“典型”的水平，沿着的详细说明的干预措施和详细说明的成本按类别。
To allocate HIV prevention resources effectively, it is important to have information about the effectiveness of alternative prevention programs as a function of expenditure. We refer to this relationship as the "production function" for a prevention program. Few studies of HIV prevention programs have reported this relationship. This paper demonstrates the value of such information. We present a simple model for allocating HIV prevention resources, and apply the model to an illustrative HIV prevention resource allocation problem. We show that, without sufficient information about prevention program production functions, suboptimal decisions may be made. We show that epidemiologic data, such as estimates of HIV prevalence or incidence, may not provide enough information to support optimal allocation of HIV prevention resources. Our results suggest that good allocations can be obtained based on fairly basic information about prevention program production functions: an estimate of fixed cost plus a single estimate of cost and resulting risk reduction. We find that knowledge of production functions is most important when fixed cost is high and/or when the budget is a significantly constraining factor. We suggest that, at the minimum, future data collection on prevention program effectiveness should include fixed and variable cost estimates for the intervention when implemented at a "typical" level, along with a detailed description of the intervention and detailed description of costs by category.