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医院预留能力的选择:前瞻性支付面临的问题。

Choice of reserve capacity by hospitals: a problem for prospective payment.

机构信息

Polynomics AG, Baslerstrasse 44, 4600, Olten, Switzerland.

Emeritus, Department of Economics, University of Zurich, Zurich, Switzerland.

出版信息

Eur J Health Econ. 2018 Jun;19(5):663-673. doi: 10.1007/s10198-017-0909-3. Epub 2017 Jun 19.

Abstract

This contribution analyzes the impact of prospective payment on hospital decisions with regard to reserve capacity, using Swiss hospital data covering the years 2004-2009. This data set is unique because it permits distinguishing of institutional characteristics (e.g., ownership status) from the mode of payment as determinants of hospital efficiency, due to the fact that some Swiss cantons introduced prospective payment early while others waited for federal legislation to be enacted in 2012. Since a hospital's choice of reserve capacity depends also on the risk preferences of management while affecting the cost function, heterogeneity is predicted even in the presence of identical technology and factor prices. For estimating hospitals' marginal costs, we employ the flexible representation of risk preferences by Pope and Chavas [Am J Agric Econ 76, 196-204 (1994)]. Production uncertainty is measured as the difference between actual admissions and admissions predicted by an autoregressive moving average model. Its effect on hospital cost is analyzed using a multilevel stochastic cost frontier model with random coefficients reflecting unobserved differences in technology. Public hospitals are found to opt for a higher probability of meeting unexpected demand, as predicted. Their operating cost is 1.1% higher than for private hospitals and even 1.9% higher than for teaching hospitals, creating an incentive to turn away patients or to keep them waiting for treatment.

摘要

本研究利用涵盖 2004-2009 年期间的瑞士医院数据,分析了预付款制对医院储备能力决策的影响。该数据集具有独特性,因为它能够区分机构特征(例如,所有制状况)和支付方式,将其作为医院效率的决定因素,这是因为瑞士一些州早在 2012 年联邦立法出台之前就采用了预付款制,而其他州则等待该立法的实施。由于医院储备能力的选择还取决于管理层的风险偏好,同时也会影响成本函数,因此即使存在相同的技术和要素价格,也会存在异质性。为了估计医院的边际成本,我们采用了 Pope 和 Chavas[Am J Agric Econ 76, 196-204 (1994)]提出的灵活表示风险偏好的方法。生产不确定性被定义为实际入院人数与自回归移动平均模型预测的入院人数之间的差异。使用具有随机系数的多层次随机成本前沿模型分析其对医院成本的影响,这些随机系数反映了技术方面未被观察到的差异。研究结果表明,公立医院选择了更高的满足意外需求的概率,这与预测结果一致。与私立医院相比,公立医院的运营成本高出 1.1%,与教学医院相比,甚至高出 1.9%,这导致了拒收患者或让他们等待治疗的激励机制。

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