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OBJECTIVES: We aimed to compare some hemogram parameters with the Sysmex XN 9000 device that we routinely use to see the performance of the Mindray BC-6800 Plus device, which was newly installed in our laboratory. MATERIALS and METHODS: 80 patient samples were studied simultaneously on Mindray BC-6800 Plus(Shenzhen Mindray Bio-Medical Electronics Co.,Ltd.) and Sysmex XN 9000(Sysmex Corp.) devices, including data below and above the lower and upper reference values. The Kolmogorov Smirnov test was used to evaluate whether the data were compatible with the normal distribution. Spearman correlation analysis and Passing-Bablok regression analysis, Bland-Altman analysis were performed with MedCalc program. RESULTS: For erythrocyte; r = 0.995 (p <0.0001) in correlation analysis, y = 0.01346 + 0.9877x in Passing Bablok regression analysis (95% confidence intervals between slope 0.9759-1.0000, intercept -0.03000 – 0.06060 found.); For leukocyte; r = 0.997 (p <0.0001) in correlation analysis, y = -0.0331 + 1.016x in Passing Bablok regression analysis (95% confidence intervals between slope 1.0044-1.0275, intercept -0.1031 –0.0492 found.); For hemoglobin; r = 0.998 (p <0.0001) in correlation analysis, y = 0.0688525 + 1.0164x in Passing Bablok regression analysis (95% confidence intervals between slope 1.0000- 1.0274, intercept -0.04589 – 0.3000 found.); For Platelet; r = 0.988 (p <0.0001) in correlation analysis, y = 4.2923 + 0.9692x in Passing-Bablok regression analysis (95% confidence intervals between slope 0.9462-0.9935, intercept -1.3366 – 9.8226 found.); For neutrophil; r = 0.995 (p <0.0001) in correlation analysis, y = 0.06362 + 1.0328x in Passing Bablok regression analysis (95% confidence intervals between slope 1.0221-1.0498, intercept -0.002711 – 0,1103 found.); For lymphocyte; r = 0.990 (p <0.0001) in correlation analysis, y = -0.0100 + 1.0000x in Passing-Bablok regression analysis (95% confidence intervals between slope 0.985-1.0152, intercept -0.03621 – -0.02688 found.); For immature granulocyte; r = 0.903 (p <0.0001) in correlation analysis, y = -0.007647 + 0.8824x in Passing Bablok regression analysis (95% confidence intervals between slope 0.7727-1.0000, intercept -0,01000 – -0,05455 found) CONCLUSIONS: It has been shown that the intercept and slope values obtained as a result of the Passing Bablok regression analysis are within 95% confidence interval and 95% of the data in the Bland-Altman graph is within ± 1.96SD. It has been shown that the hemogram device newly installed in our laboratory is statistically compatible with the device we use routinely. [ABSTRACT FROM AUTHOR]

OBJECTIVES: We aimed to evaluate the effect of in-service training for phlebotomists on preanalytical and postanalytical processes by using the six sigma (sigmametric) protocol as a quality management tool in the laboratory. MATERIALS and METHODS: The effect of the training given to phlebotomists of Istanbul Training and Research Hospital at the end of February was evaluated with the sigma protocol. For the pre-analytical process; Six sigma results were compared by calculating the error classification, parameter-based DPMO (defectspermillionopportunities) values for the reasons for rejection in the months before training (February) and after training (March2019). In the evaluation of the postanalytical process, the turn-around-time period was determined as 60 minutes for parameters of immediate clinical importance (Arterial Blood Gas, potassium, D-Dimer, INR (InternationalNormalizedRatio), high-sensitive troponin I). RESULTS: According to the reasons and rates of rejection in February-March 2019, Sigma and DPMO values were determined as Biochemistry (4.24- 4.29/3115-2653), HbA1c (4.6-4.9/1332-463), Hemogram (4,2-4.3/3555-3381), Hormone (4.6-4.8/1114-686), Urine Analysis (4.3-4.5/2616-1505), Blood-Gas (3.7- 3,5/17786-27507), Coagulation (4.11-4.17/4542-3807), respectively. In the postanalytical phase, according to the emergency TAT times, Sigma and DPMO values in February-March2019 were determined as Potassium (1.9-2/378832- 341229), hsTnI (1.7-1.8/449278-394810), Blood-Gas (3.9 -4.1/10391-2706), D-dimer (1.9-1.9/346457-348348), INR (2.2-2.2/261514-252289),respectively. CONCLUSIONS: It has been observed that the preanalytical errors in our laboratory are mostly insufficient sample, clotted sample, hemolyzed sample. Regarding rejection rates in sigma values before (February) and after (March) in-service training: Although there was a significant increase in sigma levels in HbA1c, hormone, urine tests, rejection rates were decreased in biochemistry and coagulation tests. For the tests, the error rate decreased in the D-dimer and INR tests. [ABSTRACT FROM AUTHOR]