用六西格玛法和帕累托原理评价分析前误差

Saniye BAŞAK OKTAY, Ferhat HANİKOĞLU
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摘要

目的:在这项研究中,我们的目的是在临床生物化学实验室中使用六西格玛方法和帕累托原理评估五年期间的分析前误差。方法:对临床生化实验室2015年1月- 2019年12月5年样本拒收数据进行分析,并根据拒收原因进行分类。总误差和分析前误差的六西格玛水平用Westgard在线公式计算。根据帕累托原理对分析前误差的频率、等级和百分比进行评估。结果:5年总临界分析前误差率为1.91%,西格玛水平为3.6。根据帕累托图,在5年的分析前拒收中,最常见的三个错误是样本凝结(42.49%,sigma值为4)、样本不足(23.53%,sigma值为4.2)和容器错误(8.01%,sigma值为4.5)。结论:六西格玛是一种质量管理方法,用于根据通用质量标准评价实验室绩效过程。本实验室分析前误差的sigma计算值在可接受范围内。然而,对于经常观察到的分析前错误,计划的监管活动应该是一种实验室管理策略,以减少这些错误率并提高我们的实验室绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Preanalytical Errors by Six Sigma Method and Pareto‘s Principle
Aim: In this study, we aimed to evaluate the preanalytical errors over a five year period using the Six Sigma methodology and Pareto Principle in the clinical biochemistry laboratory. Methods: Five-year sample rejection data between January 2015 and December 2019 in the clinical biochemistry laboratory were analyzed and classified according to the reasons for rejection. Six Sigma levels for the total and each preanalytical error were calculated with Westgard online formula. Preanalytical errors were evaluated according to their frequencies ranks and percentages with Pareto's principle. Results: The overall rate of five-year total critical preanalytical errors was 1.91% and the sigma level was 3.6. According to Pareto's chart, the three most common errors among the five-year preanalytical rejections were clotted sample (42.49%, sigma value:4), insufficient sample (23.53%, sigma value:4.2), and wrong container (8.01%, sigma value:4.5). Conclusion: Six Sigma is a quality management methodology used to evaluate laboratory performance processes according to universal quality criteria. Calculated sigma values of preanalytical errors in our laboratory were within the acceptable range. However, planned regulatory activities for frequently observed preanalytical errors should be a laboratory management strategy to reduce these error rates and improve our laboratory performance.
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