Assessment of Sigma Metrics for Routine Chemistry Testing in 4 Laboratories in Kwa-Zulu Natal, South Africa

Abstract

Sigma metrics is a quantitative management tool. This study assessed the Six Sigma score for 26 chemistry analytes, compared scores with different total allowable errors (TEa) and use of scores for internal quality control (IQC) rules in 4 Laboratories in Kwa-Zulu Natal, South Africa. Utilizing 6 months of IQC SD, CV, and bias data on albumin, alkaline phosphatase, alanine aminotransferase, amylase, aspartate aminotransferase, bicarbonate, calcium, total cholesterol, creatine kinase, chloride, creatinine, gamma glutamyl transferase, glucose, HDL-cholesterol, potassium, lactate dehydrogenase, magnesium, sodium, inorganic phosphate, direct bilirubin, total bilirubin, triglycerides, total protein, urea nitrogen, uric acid, and C-reactive protein (CRP) Six Sigma scores were calculated using Microsoft Excel 2016 and ideal IQC rules were determined. Six Sigma scores using Ricos et al. 2014, Royal College of Pathologists Australasia, and Clinical Laboratory Improvement Amendments TEas were compared. For levels 1, 2, and 3 respectively, analytes scoring >3 sigma was 9 (35%), 12 (46%), and 14 (54%) in Laboratory A; Laboratory B had 15 (58%), 19 (73%), and 17 (65%); Laboratory C had 12 (46%), 13 (50%), and 15 (58%); and Laboratory D had 13 (50%), 18 (69%), and 18 (69%). Albumin, calcium, sodium, magnesium, bicarbonate, and chloride scored <3; CRP scored >6 for all. In Laboratories A, B, C, and D, 7 (27%), 7 (27%), 6 (23%), and 8 (31%) analytes, respectively, required only 1 IQC rule. One of 21 analytes for Laboratories C and D, 3 for Laboratory A, and 0 for Laboratory B had the same sigma score with all 3 databases. Despite South Africa being a developing nation, many analytes are able to achieve >3 sigma.