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Evaluation of Preanalytical Quality Indicators by Six Sigma and Pareto`s Principle

机译:六西格玛和帕累托原理评估分析前质量指标

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Preanalytical steps are the major sources of error in clinical laboratory. The analytical errors can be corrected by quality control procedures but there is a need for stringent quality checks in preanalytical area as these processes are done outside the laboratory. Sigma value depicts the performance of laboratory and its quality measures. Hence in the present study six sigma and Pareto principle was applied to preanalytical quality indicators to evaluate the clinical biochemistry laboratory performance. This observational study was carried out for a period of 1??year from November 2015a??2016. A total of 1,44,208 samples and 54,265 test requisition forms were screened for preanalytical errors like missing patient information, sample collection details in forms and hemolysed, lipemic, inappropriate, insufficient samples and total number of errors were calculated and converted into defects per million and sigma scale. Pareto`s chart was drawn using total number of errors and cumulative percentage. In 75% test requisition forms diagnosis was not mentioned and sigma value of 0.9 was obtained and for other errors like sample receiving time, stat and type of sample sigma values were 2.9, 2.6, and 2.8 respectively. For insufficient sample and improper ratio of blood to anticoagulant sigma value was 4.3. Pareto`s chart depicts out of 80% of errors in requisition forms, 20% is contributed by missing information like diagnosis. The development of quality indicators, application of six sigma and Pareto`s principle are quality measures by which not only preanalytical, the total testing process can be improved.
机译:分析前步骤是临床实验室误差的主要来源。可以通过质量控制程序来纠正分析误差,但是由于这些过程是在实验室外进行的,因此需要在分析前进行严格的质量检查。 Sigma值描述了实验室的性能及其质量度量。因此,在本研究中,将六个西格玛和帕累托原理应用于分析前的质量指标,以评估临床生物化学实验室的性能。这项观察性研究从2015年11月至2016年进行了1年。共筛选了1,44,208个样品和54,265个测试申请表,以分析前的错误,例如缺失的患者信息,样品收集形式的详细信息以及溶血,脂血症,不合适,样品不足以及错误总数,并将这些错误转换为百万分之十。西格玛规模。使用错误总数和累积百分比绘制了帕累托的图表。在75%的测试申请单中,没有提及诊断,σ值为0.9,而对于其他错误,例如样品接收时间,统计和样品σ值的类型,分别为2.9、2.6和2.8。由于样品不足,血液与抗凝剂的比值不正确,sigma值为4.3。帕累托(Pareto)的图表描绘了80%的申请单错误,其中20%是由于诸如诊断之类的信息缺失所致。质量指标的发展,六个西格玛的应用和帕累托原理是不仅可以进行分析前质量而且可以改善整个测试过程的质量度量。

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