论文标题
监测医疗保健质量的经验贝叶斯方法
Empirical Bayes methods for monitoring health care quality
论文作者
论文摘要
本文讨论了使用荷兰VOKS研究中的数据重复进行卫生保健机构的经验贝叶斯方法，该研究每年都在这些中心发生的不同方面进行了几乎所有荷兰妇科中心的相对性能和质量。本文可以看作是托马斯，朗福德和罗夫，戈德斯坦和斯皮格哈尔特的开创性作品的延伸。首先，本文在逻辑回归环境中介绍了中心效应的新简单粗略估计。接下来，给出了所有数据的简单估计中心的预期百分位数，并根据预期百分位数提出了中心的排名量度。最后，探索时间维度并讨论方法以预测明年的表现。
The paper discusses empirical Bayes methodology for repeated quality comparisons of health care institutions using data from the Dutch VOKS study that annually monitors the relative performance and quality of nearly all Dutch gynecological centres with respect to different aspects of the childbirths taking place in these centres. This paper can be seen as an extension of the pioneering work of Thomas, Longford and Rolph and Goldstein and Spiegelhalter. First of all, this paper introduces a new simple crude estimate of the centre effect in a logistic regression setting. Next, a simple estimate of the expected percentile of a centre given all data and a measure of rankability of the centres based on the expected percentiles are presented. Finally, the temporal dimension is explored and methods are discussed to predict next years performance.
