Shaikh M S, Moiz B
Section of Hematology, Department of Pathology and Laboratory Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Int J Lab Hematol. 2016 Apr;38(2):193-7. doi: 10.1111/ijlh.12468. Epub 2016 Feb 5.
Around two-thirds of important clinical decisions about the management of patients are based on laboratory test results. Clinical laboratories are required to adopt quality control (QC) measures to ensure provision of accurate and precise results. Six sigma is a statistical tool, which provides opportunity to assess performance at the highest level of excellence. The purpose of this study was to assess performance of our hematological parameters on sigma scale in order to identify gaps and hence areas of improvement in patient care.
Twelve analytes included in the study were hemoglobin (Hb), hematocrit (Hct), red blood cell count (RBC), mean corpuscular volume (MCV), red cell distribution width (RDW), total leukocyte count (TLC) with percentages of neutrophils (Neutr%) and lymphocytes (Lymph %), platelet count (Plt), mean platelet volume (MPV), prothrombin time (PT), and fibrinogen (Fbg). Internal quality control data and external quality assurance survey results were utilized for the calculation of sigma metrics for each analyte.
Acceptable sigma value of ≥3 was obtained for the majority of the analytes included in the analysis. MCV, Plt, and Fbg achieved value of <3 for level 1 (low abnormal) control. PT performed poorly on both level 1 and 2 controls with sigma value of <3.
Despite acceptable conventional QC tools, application of sigma metrics can identify analytical deficits and hence prospects for the improvement in clinical laboratories.
关于患者管理的重要临床决策中,约三分之二是基于实验室检测结果做出的。临床实验室需要采取质量控制(QC)措施,以确保提供准确和精确的结果。六西格玛是一种统计工具,它提供了在卓越的最高水平上评估性能的机会。本研究的目的是评估我们血液学参数在西格玛尺度上的性能,以识别差距,从而确定患者护理中需要改进的领域。
本研究纳入的12种分析物包括血红蛋白(Hb)、血细胞比容(Hct)、红细胞计数(RBC)、平均红细胞体积(MCV)、红细胞分布宽度(RDW)、总白细胞计数(TLC)以及中性粒细胞百分比(Neutr%)和淋巴细胞百分比(Lymph%)、血小板计数(Plt)、平均血小板体积(MPV)、凝血酶原时间(PT)和纤维蛋白原(Fbg)。内部质量控制数据和外部质量保证调查结果用于计算每种分析物的西格玛指标。
分析中纳入的大多数分析物获得了≥3的可接受西格玛值。MCV、Plt和Fbg在1级(低异常)对照中获得的值<3。PT在1级和2级对照中表现均不佳,西格玛值<3。
尽管传统的质量控制工具可接受,但应用西格玛指标可以识别分析缺陷,从而为临床实验室的改进提供前景。