Prof. Mehmet Haberal is presented with The Award of The Spanish Order of The Civil Merit (Cruz de Official) by His Majesty King Felipe VI, King of Spain.
We are honored to announce that Prof. Dr. Seza Özen who is the member of Honorary Advisory Board of JBACHS has already won the Aziz Sancar Science Award of TUSEB.
We are happy to announce that The Journal of Basic and Clinical Health Sciences (JBACHS) is indexed by the Emerging Sources Citation Index since November 2017, and indexed by the Ulakbim-TR since 2017.
Journal of Basic and Clinical Health Sciences 2020 , Vol 4 , Issue 2
Assesment of Analytical Performance of HbA1C Test by Six Sigma Methodology
Dilek Iren Emekli1,Kenan Guclu2,Rukiye Nar3,Esin Avc3
1Erbayraktar Private Medical Laboratories,Izmir, Turkey, Department of Medical Biochemistry, Izmir, Turkey
2Ahi Evran University Training and Research Hospital, Department of Medical Biochemistry, Kırsehir, Turkey
3Pamukkale University School of Medicine, Department of Medical Biochemistry, Denizli, Turkey
DOI : 10.30621/jbachs.2020.869 Background and Objective: The HbA1 c test is a biomarker used to evaluate the long-term outcomes of diabetes, and therefore its role in diabetes management is important Analytical reliability of clinical laboratories may be obtained by Internal Quality Control (IQC), External Quality Control (EQC) etc. by analyzing the data with statistical methods. In six sigma methodology, which is one of these methods, the analytical performance can be evaluated with a single number named "process sigma value". This study aimed to compare the six sigma levels in line with the results of IQC and EQC of HbA1 c tests which is one of the most commonly used tests in our laboratory.

Material and Methods: IQC and EQC data between May 2015-August 2015 were collected. Monthly process sigma levels were calculated by using formula "(TEa% - Bias%)/CV%. For Bias; values that the firm provided from IQC results and the standard deviation index (SDI) values in EQC reports were used. 6% were basis for the allowed total error values (NGSP).

Results: Process sigma level were determined according to IQC1, IQC2 and EQC results by month as May (3.4–8.4–9.6), June (3.9–5.2–4.5), July (5.9–8.4–4.7), August (8.7–8.4–8.2), respectively in 2015.

Conclusions: In our study it was observed that HbA1C test is in conformity with the process sigma levels according to IQC and EQC data. HbA1 c test was found to be compatible with internal quality control and external quality control results in accordance with process sigma levels and it was also evaluated as favorable considering our laboratory performance. Keywords : Quality assessment, six sigma, analytical reliability