An Efficient Frontier Approach to Scoring and Ranking Hospital Performance

Daniel Adelman
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引用次数: 13

Abstract

For many years, stakeholders have been complaining about how hospital scores are computed in the Centers for Medicare and Medicaid Services (CMS) hospital star ratings. In “An Efficient Frontier Approach to Scoring and Ranking Hospital Performance,” author Dan Adelman shows how the current system can lower the scores even of hospitals that improve along every quality measure. He proposes a new approach, based on an optimization framework, that he proves does not exhibit this behaviour, and thus creates better incentives for hospitals to improve. The approach scores hospitals as closely as possible to the best scoring hospital on the efficient frontier of hospital performance, under the same measure weights. It is flexible enough to incorporate constraints that represent stakeholder interests, such as giving higher weight to measures that impact more people. Using this new approach, he computes new scores for nearly every hospital in the United States and shows that there are significant differences with the current CMS hospital star ratings.
医院绩效评分和排名的有效前沿方法
多年来,利益相关者一直在抱怨医疗保险和医疗补助服务中心(CMS)医院星级评分的计算方式。在《对医院绩效进行评分和排名的有效前沿方法》一书中,作者丹·阿德尔曼(Dan Adelman)展示了当前的系统是如何降低医院的得分的,即使这些医院在每项质量指标上都有所提高。他提出了一种基于优化框架的新方法,他证明这种方法不会表现出这种行为,从而为医院的改进创造了更好的激励。在相同的衡量权重下,该方法在医院绩效的有效前沿上尽可能接近得分最高的医院。它足够灵活,可以纳入代表涉众利益的约束,例如对影响更多人的度量给予更高的权重。使用这种新方法,他计算了美国几乎所有医院的新评分,并显示出与当前CMS医院星级评分有显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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