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Cost-effectiveness analysis and policy choices: investing in health systems.

机译:成本效益分析和政策选择:对卫生系统的投资。

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摘要

The role of health systems infrastructure in studies of cost-effectiveness analysis and health resource allocation is discussed, and previous health sector cost-effectiveness analyses are cited. Two substantial difficulties concerning the nature of health system costs and the policy choices are presented. First, the issue of health system infrastructure can be addressed by use of computer models such as the Health Resource Allocation Model (HRAM) developed at Harvard, which integrates cost-effectiveness and burden of disease data. It was found that a model which allows for expansion in health infrastructure yields nearly 40% more total DALYs for a hypothetical sub-Saharan African country than a model which neglects infrastructure expansion. Widespread use of cost-effectiveness databases for resource allocations in the health sector will require the cost-effectiveness analyses shift from reporting costs to reporting production functions. Second, three distinct policy questions can be treated using these tools, each necessitating its own inputs and constraints: allocations when given a fixed budget and health infrastructure, or when given resources for marginal expansion, or when given a politically constrained situation of expanding resources. Confusion concerning which question is being addressed must be avoided through development of a consistent and rigorous approach to using cost-effectiveness data for informing resource allocations.
机译:讨论了卫生系统基础设施在成本效益分析和卫生资源分配研究中的作用,并列举了以前的卫生部门成本效益分析。提出了有关卫生系统成本性质和政策选择的两个重大困难。首先,可以通过使用计算机模型来解决卫生系统基础设施的问题,例如在哈佛开发的卫生资源分配模型(HRAM),该模型集成了成本效益和疾病数据负担。结果发现,一个假设的撒哈拉以南非洲国家的允许卫生基础设施扩展的模型比忽略基础设施扩展的模型产生的DALY总数增加了近40%。成本效益数据库在卫生部门资源分配中的广泛使用将要求成本效益分析从报告成本转变为报告生产职能。其次,可以使用这些工具来处理三个不同的政策问题,每个问题都需要自己的投入和约束:分配给定的预算和卫生基础设施,或者给定的资源用于边际扩张,或者给定政治上受限的扩张资源的情况。必须通过开发一致,严格的方法来使用成本效益数据来通知资源分配,避免有关正在解决哪个问题的混淆。

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