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暂时先不考虑学习曲线:有多少表现与个人经验无关?

Forgetting the learning curve for a moment: how much performance is unrelated to own experience?

作者信息

Huesch Marco D, Sakakibara Mariko

机构信息

Policy Academic Area, The Anderson Graduate School of Management, Los Angeles, CA 90095-1481, USA.

出版信息

Health Econ. 2009 Jul;18(7):855-62. doi: 10.1002/hec.1412.

Abstract

Volume-outcome relationships are of clear importance for most participants in the health-care industry; research and appropriate policy implications are of critical importance. In this letter we critique the prevailing 'learning-by-doing' view in cardiac surgery. We illustrate the very wide disparity in empirical findings on volume-outcome relationships there, in the context of broader open issues in 'learning curves' in general. Potential complementary mechanisms, e.g. 'social learning by knowledge spillovers' are introduced; these cast into doubt the prevailing policy recommendations of simple regionalization and volume smoothing.

摘要

对于医疗行业的大多数参与者而言,手术量与治疗结果之间的关系显然至关重要;相关研究及适当的政策影响至关重要。在这封信中,我们对心脏外科领域盛行的“边做边学”观点提出批评。我们阐述了在心脏外科手术量与治疗结果关系的实证研究结果中存在的巨大差异,这一差异处于“学习曲线”这一更广泛的开放性问题的背景之下。我们还引入了潜在的互补机制,例如“知识溢出带来的社会学习”;这些机制使简单的区域化和手术量平滑化等现行政策建议受到质疑。

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