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确定政府目标对英国国家医疗服务体系(NHS)候诊时间的影响。

Identifying the impact of government targets on waiting times in the NHS.

作者信息

Dimakou Sofia, Parkin David, Devlin Nancy, Appleby John

机构信息

City Health Economics Centre, Economics Department, The City University, Northampton Square, London EC1V OHB, UK.

出版信息

Health Care Manag Sci. 2009 Mar;12(1):1-10. doi: 10.1007/s10729-008-9069-4.

Abstract

Waiting times for elective surgery are a key issue for the NHS. The principal policy response in the English NHS has been to introduce maximum waiting time targets against which performance is measured and rewarded. The aim of this paper is to identify the effect of government targets on the distribution of waiting times in the NHS. Specifically, we investigate the following questions: How does the probability of admission for any given patient vary during the time that they wait? How is the probability of admission for any given waiting time affected by the targets? Can variations in waiting times be explained by clinical, patient, or provider-level characteristics? What implications may be drawn from our results with respect to providers' managerial responses to the targets? This paper investigates these questions by applying duration analysis techniques to waiting time data from 2001/2002 and 2002/2003 for three specialties: general surgery, trauma & orthopaedics and ophthalmology. Estimation of survival functions reveals considerable variations in waiting times between specialties, operative procedures and hospitals. Hazard rates vary over time and peaks in them-high probabilities of admission-coincide with targets and change when targets change. Amongst patient characteristics, whether they are NHS or private and whether they are day or inpatient cases both influence waiting times, but other characteristics such as age, sex and ethnicity do not.

摘要

择期手术的等待时间是英国国民医疗服务体系(NHS)的一个关键问题。英国国民医疗服务体系的主要政策应对措施是设定最长等待时间目标,并据此衡量和奖励服务表现。本文旨在确定政府目标对国民医疗服务体系中等待时间分布的影响。具体而言,我们研究以下问题:在等待期间,任何给定患者的入院概率如何变化?任何给定等待时间的入院概率如何受到目标的影响?等待时间的变化能否由临床、患者或医疗机构层面的特征来解释?从我们的结果中可以得出关于医疗机构对目标的管理应对措施的哪些启示?本文通过将持续时间分析技术应用于2001/2002年和2002/2003年普通外科、创伤与骨科以及眼科这三个专科的等待时间数据来研究这些问题。生存函数的估计显示,不同专科、手术程序和医院之间的等待时间存在显著差异。风险率随时间变化,其中的峰值——高入院概率——与目标一致,并在目标变化时发生改变。在患者特征方面,患者是通过国民医疗服务体系就诊还是自费就诊,以及是日间手术病例还是住院病例,都会影响等待时间,但年龄、性别和种族等其他特征则不会。

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