Kulkarni Sweta, Ramesh R, Srinivasan A R, Silvia C R Wilma Delphine
1Department of Biochemistry, Mahatma Gandhi Medical College and Research Institute, Puducherry, 607403 India.
Department of Biochemistry, Akash Institute of Medical Sciences and Research Centre, Devanahalli, Bangalore, Karnataka India.
Indian J Clin Biochem. 2018 Jan;33(1):102-107. doi: 10.1007/s12291-017-0654-5. Epub 2017 Apr 21.
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 2015-2016. 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. Paretos 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.
分析前阶段是临床实验室误差的主要来源。分析误差可通过质量控制程序进行校正,但由于这些过程是在实验室外部完成的,因此在分析前领域需要进行严格的质量检查。西格玛值描述了实验室的性能及其质量指标。因此,在本研究中,将六西格玛和帕累托原则应用于分析前质量指标,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144208份样本和54265份检验申请单,以查找分析前误差,如患者信息缺失、申请单中的样本采集细节以及溶血、脂血、不合适、样本不足等情况,并计算出误差总数,将其转换为百万分之缺陷数和西格玛等级。使用误差总数和累积百分比绘制帕累托图。在75%的检验申请单中未提及诊断,西格玛值为0.9,对于其他误差,如样本接收时间、急诊和样本类型,西格玛值分别为2.9、2.6和2.8。对于样本不足和血液与抗凝剂比例不当,西格玛值为4.3。帕累托图显示,在申请单中80%的误差中,20%是由诊断等信息缺失造成的。质量指标的制定、六西格玛和帕累托原则的应用是质量措施,通过这些措施不仅可以改善分析前阶段,还可以改善整个检测过程。