Hospital Readmissions Reduction Program: An Economic and Operational Analysis

Dennis J. Zhang, I. Gurvich, J. V. Mieghem, Eric Park, R. Young, Mark V. Williams
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引用次数: 75

Abstract

The Hospital Readmissions Reduction Program (HRRP), a part of the U.S. Patient Protection and Affordable Care Act, requires the Centers for Medicare and Medicaid Services to penalize hospitals with excess readmissions. We take an economic and operational (patient flow) perspective to analyze the effectiveness of this policy in encouraging hospitals to reduce readmissions. We develop a game-theoretic model that captures the competition among hospitals inherent in HRRP’s benchmarking mechanism. We show that this competition can be counterproductive: it increases the number of nonincentivized hospitals, which prefer paying penalties over reducing readmissions in any equilibrium. We calibrate our model with a data set of more than 3,000 hospitals in the United States and show that under the current policy, and for a large set of parameters, 4%–13% of the hospitals remain nonincentivized to reduce readmissions. We also validate our model against the actual performance of hospitals in the three years since the introduction of the policy. We draw several policy recommendations to improve this policy’s outcome. For example, localizing the benchmarking process—comparing hospitals against similar peers—improves the performance of the policy. This paper was accepted by Serguei Netessine, operations management .
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医院再入院减少计划:经济和操作分析
医院再入院减少计划(HRRP)是美国患者保护和平价医疗法案的一部分,要求医疗保险和医疗补助服务中心对再入院过多的医院进行处罚。我们采取经济和操作(病人流)的角度来分析这一政策在鼓励医院减少再入院方面的有效性。我们开发了一个博弈论模型,捕捉医院之间的竞争内在的HRRP的基准机制。我们表明,这种竞争可能适得其反:它增加了不受激励的医院的数量,在任何平衡情况下,这些医院宁愿支付罚款,也不愿减少再入院人数。我们用美国3000多家医院的数据集校准了我们的模型,结果表明,在目前的政策下,对于大量的参数,4%-13%的医院仍然没有减少再入院的激励。我们还根据该政策实施以来三年来医院的实际表现验证了我们的模型。我们提出了几项政策建议,以改善这一政策的结果。例如,将基准测试过程(将医院与类似的同行进行比较)本地化可以提高策略的性能。这篇论文被Serguei Netessine,运营管理接受。
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