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衡量意外住院需求:单变量模型在希腊公立医院中的应用。

Measuring unexpected hospital demand: the application of a univariate model to public hospitals in Greece.

作者信息

Boutsioli Zoe

机构信息

School of Social Research, Sociology, and Social Policy, University of Kent.

出版信息

Hosp Top. 2009 Fall;87(4):14-21. doi: 10.1080/00185860903323115.

Abstract

The accurate forecasting of hospital demand is an important issue in many countries. The author applied a univariate model using hospital daily emergency admissions of 10 public hospitals in Athens, Greece, during the period 2001-2005. Unexpected demand varied considerably among hospital units in Greece, and its volatility over time was low. Managerial and organizational characteristics of the hospital, the easy accessibility by the patients, its reputation, and the size of the hospital were possible explanations for these variations. The Ministry of Health should undertake policies in order to smooth out the variations in unexpected demand among the Greek public hospitals.

摘要

准确预测医院需求在许多国家都是一个重要问题。作者运用单变量模型,对希腊雅典10家公立医院在2001年至2005年期间的每日急诊入院情况进行了分析。希腊各医院科室的意外需求差异很大,且随时间的波动较小。医院的管理和组织特征、患者就医的便捷程度、声誉以及医院规模可能是造成这些差异的原因。希腊卫生部应采取政策,以消除希腊公立医院意外需求的差异。

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