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随机临床试验中的成本效益分析。

Cost-effectiveness analyses alongside randomised clinical trials.

作者信息

Gray Alastair M

机构信息

Health Economics Research Centre, Department of Public Health, University of Oxford, Oxford, UK.

出版信息

Clin Trials. 2006;3(6):538-42. doi: 10.1177/1740774506073108.

Abstract

BACKGROUND

Many health economists increasingly advocate the use of model-based evaluations rather than trial-based evaluations.

PURPOSE

The purpose of this paper is to review the merits and limitations of RCT-based evaluations of cost-effectiveness.

RESULTS

The paper draws on the examples of large studies such as the United Kingdom Prospective Diabetes Study and the Heart Protection Study to suggest that large randomised trials offer a number of advantages to health economists wishing to estimate cost-effectiveness, including access to patient-level data, unbiased estimates of resource use as well as effects, the estimation of cost-effectiveness in sub-groups of patients, and an enhanced ability to build and validate extrapolation models.

CONCLUSIONS

While many methodological issues remain to be resolved, the use of patient-level data derived from clinical trials as a basis for economic evaluations is likely to remain an important part of the health economics evidence base, and will also continue to provide the data required for methodological research.

摘要

背景

许多卫生经济学家越来越提倡使用基于模型的评估而非基于试验的评估。

目的

本文旨在综述基于随机对照试验的成本效益评估的优点和局限性。

结果

本文借鉴了英国前瞻性糖尿病研究和心脏保护研究等大型研究的实例,表明大型随机试验为希望评估成本效益的卫生经济学家提供了诸多优势,包括获取患者层面的数据、对资源使用及效果的无偏估计、对患者亚组成本效益的估计,以及增强构建和验证外推模型的能力。

结论

尽管仍有许多方法学问题有待解决,但将来自临床试验的患者层面数据用作经济评估的基础,可能仍将是卫生经济学证据基础的重要组成部分,也将继续为方法学研究提供所需数据。

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