PMID- 34975251 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20240405 IS - 0974-2727 (Print) IS - 0974-7826 (Electronic) IS - 0974-2727 (Linking) VI - 13 IP - 4 DP - 2021 Dec TI - Sigma Metrics: A Valuable Tool for Evaluating the Performance of Internal Quality Control in Laboratory. PG - 328-331 LID - 10.1055/s-0041-1731145 [doi] AB - Background Six Sigma is a widely accepted quality management system that provides an objective assessment of analytical methods and instrumentation. Six Sigma scale typically runs from 0 to 6, with sigma value above 6 being considered adequate and 3 sigma being considered the minimal acceptable performance for a process. Methodology Sigma metrics of 10 biochemistry parameters, namely glucose, triglycerides, high-density lipoprotein (HDL), albumin, direct bilirubin, alanine transaminase, aspartate transaminase, urea nitrogen, creatinine and uric acid, and hematology parameters such as hemoglobin (Hb), total leucocyte count (TLC), packed cell volume (PCV), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and platelet were calculated by analyzing internal quality control (IQC) data of 3 months (June-August 2019). Results Sigma value was found to be > 6 for triglyceride, HDL, Hb, TLC, and MCH, signifying excellent results and no further modification with respect to IQC. Sigma value was between 3 and 6 for glucose, albumin, creatinine, uric acid, PCV, and MCHC, implying the requirement of improvement in quality control (QC) processes. Sigma value of < 3 was seen in AST, ALT, direct bilirubin, urea nitrogen, platelet, and MCV, signifying suboptimal performance. Discussion Six Sigma provides a more quantitative framework for evaluating process performance with evidence for process improvement and describes how many sigmas fit within the tolerance limits. Thus, for parameters with sigma value < 3, duplicate testing of the sample along with three QCs three times a day may be used along with stringent Westgard rules for rejecting a run. Conclusion Sigma metrics help assess analytical methodologies and augment laboratory performance. CI - The Indian Association of Laboratory Physicians. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/). FAU - Kashyap, Akriti AU - Kashyap A AD - Department of Laboratory Medicine, Air Force Command Hospital, Bengaluru, Karnataka, India. FAU - Sampath, Sangeetha AU - Sampath S AD - Department of Laboratory Medicine, Air Force Command Hospital, Bengaluru, Karnataka, India. FAU - Tripathi, Preeti AU - Tripathi P AD - Department of Laboratory Medicine, Air Force Command Hospital, Bengaluru, Karnataka, India. FAU - Sen, Arijit AU - Sen A AD - Department of Laboratory Medicine, Air Force Command Hospital, Bengaluru, Karnataka, India. LA - eng PT - Journal Article DEP - 20210628 PL - Germany TA - J Lab Physicians JT - Journal of laboratory physicians JID - 101551511 PMC - PMC8714305 OTO - NOTNLM OT - Sigma OT - biochemistry OT - hematology OT - quality COIS- Conflict of Interest None declared. EDAT- 2022/01/04 06:00 MHDA- 2022/01/04 06:01 PMCR- 2021/06/01 CRDT- 2022/01/03 05:34 PHST- 2022/01/03 05:34 [entrez] PHST- 2022/01/04 06:00 [pubmed] PHST- 2022/01/04 06:01 [medline] PHST- 2021/06/01 00:00 [pmc-release] AID - JLP2060221 [pii] AID - 10.1055/s-0041-1731145 [doi] PST - epublish SO - J Lab Physicians. 2021 Jun 28;13(4):328-331. doi: 10.1055/s-0041-1731145. eCollection 2021 Dec.