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Title

Analysis of biochemical analytes using six sigma metrics with two analyzers at an Indian lab setting

 

Authors

Ranjeeta Gadde*& HM Venkatappa

 

Affiliation

Kanva Diagnostic Services Private Ltd, #744, 11th Block, 2nd Stage, Marilingappa Extension, Nagarbhavi, Bengaluru - 560072, Karnataka, India, *Corresponding author

 

Email

Ranjeeta Gadde - E-mail: ranjeeta1903@gmail.com

HM Venkatappa E-mail: kdsnlaboratory@gmail.com & dr.venkatapa@kanvadiagnostic.com

 

Article Type

Research Article

 

Date

Received November 1, 2023; Revised November 30, 2023; Accepted November 30, 2023, Published November 30, 2023

 

Abstract

A zero defects goal was implemented in the clinical laboratory settings using a six-sigma model. Daily Internal Quality Control (IQC) and external quality control data from April-September 2023 was extracted to calculate the sigma metrics of 21 biochemical analytes based on Total Error Allowable (TEa), % bias and co-efficient of variation percent (CV%). A retrospective comparative study was conducted in the department of Clinical Biochemistry at Kanva Diagnostic Services Pvt. Ltd, Bengaluru, India. The analytical performance of the 21 biochemical analytes was tested on Cobas 6000 and C311 analyzers. Quality Goal Index (QGI) and root cause analysis was calculated to infer the reason for the deviation of six sigma. Method decision charts were plotted to show the comparison of the problem analytes on both the analyzers. On Cobas 6000 at level 1 IQC, out of 21 analytes, 10 analytes showed σ>6 and 10 analytes showed σ 3-6 and on C311, 15 analytes which showed σ>6 and 6 analytes that showed σ 3-6. On Cobas 6000 at level 2 IQC, out of 21 analytes, 12 analytes showed σ>6 and 8 analytes showed σ 3-6 and on C311 17 analytes showed σ>6 and 4 analytes showed σ 3-6. Creatinine failed to meet minimal sigma performance at both levels of IQC on Cobas 6000.

 

Keywords

Westgard rules, sigma metric, quality goal index

 

Citation

Gadde & Venkatappa Bioinformation 19(11): 1043-1050 (2023)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.