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检测与预防检验医学和解剖病理学实践中的差错:美国病理学家学会Q-PROBES和Q-TRACKS项目15年的经验

Detecting and preventing the occurrence of errors in the practices of laboratory medicine and anatomic pathology: 15 years' experience with the College of American Pathologists' Q-PROBES and Q-TRACKS programs.

作者信息

Novis David A

机构信息

Department of Pathology, Wentworth Douglass Hospital, Dover, NH 03820, USA.

出版信息

Clin Lab Med. 2004 Dec;24(4):965-78. doi: 10.1016/j.cll.2004.09.001.

Abstract

This review extracts those studies from the CAP Q-PROBES and Q-TRACKS programs that have benchmarked and monitored the occurrence of errors in the practices of laboratory medicine and anatomic pathology. The outcomes of these studies represent in aggregate the analysis of millions of data points collected in thousands of hospitals throughout the United States. Also presented in this review are hospital and laboratory practices associated with improved performance (ie, fewer errors). Only those associations that were shown to be statistically significant are presented. They represent only a small fraction of the practices examined in these studies. The reader is encouraged to peruse the Q-PROBES studies cited in the reference list to learn about the wide range of practices investigated. The institution of some of these practices for which the associated error reductions were not statistically significant might nonetheless improve performance in some environments. There is no way of knowing whether some better-performing institutions compensated for not employing presumably beneficial practices by applying other practices about which the studies' authors neglected to inquire. Nor is there any way of knowing whether institutions in which performance was poor employed presumably beneficial practices, but possessed operational flaws about which the studies' authors neglected to inquire. Certainly, hospitals operating in the bottom 10% of benchmarked performances would do well to investigate the possibility that some of these practices might reduce the incidence of errors in their institutions. From the results of these studies, there emerge two complementary strategies that appear to be associated with reduction of errors. Obviously, the first strategy involves doing what is necessary to prevent the occurrence of errors in the first place. Several tactics may accomplish this goal. Healthcare workers responsible for specific tasks must be properly educated and motivated to perform those tasks with as few errors as possible. There must be written policies and protocols detailing responsibilities and providing contingencies when those responsibilities are not met. The successful completion of required tasks must be documented, especially those tasks that are performed as requisite to others. In other words, it should be impossible to move on to subsequent operations in testing processes before documenting the successful completion of previous requisite operations. Finally, the opportunities for making errors must be reduced. Specifically, the number of steps in which specimens are delivered to laboratories, tests are performed, and results are disseminated to those who use them must be reduced as much as possible. The second strategy involves the assumption that despite our best efforts to prevent them, errors will occur. No matter how smart we are, no matter how careful we try to be, we will make mistakes. It is essential that systems designed to eliminate errors include elements of redundancy to catch those mistakes. Work must be checked and verified before therapeutic decisions are finalized. This is especially true when those decisions are irrevocable and the potential damage caused by errors cannot be undone. Ideally, systems that use redundancy should include provisions to shut down the testing process altogether when the successful execution of previous steps cannot be verified. Once error detection systems are established, service providers can gauge their performance by employing tools of continuous monitoring to assess the degree to which health care workers comply with required procedures, and with which services achieve their intended outcomes.

摘要

本综述从临床检验质量改进计划(CAP Q-PROBES)和质量跟踪计划(Q-TRACKS)中提取了那些对检验医学和解剖病理学实践中的差错发生率进行基准评估和监测的研究。这些研究的结果总体上代表了对美国数千家医院收集的数百万个数据点的分析。本综述还介绍了与绩效改善(即差错减少)相关的医院和实验室实践。仅呈现那些经证明具有统计学显著性的关联。它们仅占这些研究中所考察实践的一小部分。鼓励读者研读参考文献列表中引用的Q-PROBES研究,以了解所调查实践的广泛范围。其中一些相关差错减少未达统计学显著性的实践,在某些环境中仍可能改善绩效。无法知晓一些绩效较好的机构是否通过应用研究作者未询问的其他实践来弥补未采用可能有益的实践。同样无法知晓绩效较差的机构是否采用了可能有益的实践,但存在研究作者未询问的操作缺陷。当然,在基准绩效排名后10%的医院,最好调查这些实践中的一些是否可能降低其机构中的差错发生率。从这些研究结果中,出现了两种似乎与差错减少相关的互补策略。显然,第一种策略首先涉及采取必要措施防止差错发生。有几种策略可以实现这一目标。负责特定任务的医护人员必须接受适当的教育并受到激励,尽可能少出差错地执行这些任务。必须有书面政策和规程,详细说明职责并在未履行职责时提供应对措施。必须记录所需任务的成功完成情况,尤其是那些作为其他任务必要前提执行的任务。换句话说,在记录先前必要操作的成功完成之前,不应进入测试过程的后续操作。最后,必须减少出错的机会。具体而言,必须尽可能减少标本送达实验室、进行检测以及将结果分发给使用者的步骤数量。第二种策略基于这样的假设,即尽管我们尽最大努力预防差错,但差错仍会发生。无论我们多么聪明,无论我们多么小心,我们都会犯错。旨在消除差错的系统必须包含冗余元素以捕捉这些错误。在最终确定治疗决策之前,工作必须经过检查和核实。当这些决策不可撤销且差错造成的潜在损害无法挽回时,尤其如此。理想情况下,使用冗余的系统应包括规定,当无法验证先前步骤的成功执行时,应完全关闭测试过程。一旦建立了差错检测系统,服务提供者可以通过采用持续监测工具来评估医护人员遵守规定程序的程度以及各项服务实现预期结果的程度,从而衡量其绩效。

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