Related Experiment Video
Updated: Jan 17, 2026

Evaluation of a Point-of-Care Testing Analyzer for Measuring Peripheral Blood Leukocytes
Published on: March 22, 2022
Sigma Metrics as a Measure to Evaluate Internal Quality Control Performance in a Clinical Chemistry Laboratory
Rukhsana Tumrani1,2, Syeda Sabahat Haider Zaidi3, Anum Iftikhar4
1Department of Pathology, Shalamar Medical and Dental College, Lahore, Pakistan.
Objective:
To determine the sigma metrics of biochemical parameters in a clinical chemistry laboratory and to evaluate their individual performance on the sigma scale using the quality goal index (QGI) ratio.
Study Design:
Retrospective cross-sectional study. Place and Duration of the Study: Department of Pathology, Shalamar Medical and Dental College, Lahore, Pakistan, from October 2023 to September 2024.
Methodology:
After ethical approval from the Institutional Review Board, data for 20 biochemical parameters enrolled in the proficiency testing programme were collected. Data were obtained for the internal quality control coefficient of variation percent (%CV) and the external quality assurance scheme (EQAS)-%bias for included parameters. Sigma values were calculated by using the formula (TAE-Bias) / CV. After the calculation of sigma values, the QGI ratio was utilised to analyse the cause of low sigma values for particular analytes.
Results:
Out of 20 biochemical parameters, both levels of uric acid, bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), triglycerides (TGs), high-density lipoprotein (HDL), potassium, creatine phosphokinase (CPK), and level 2 glucose, urea, albumin, calcium, magnesium, and phosphate showed world-class performance with sigma values ≥6. Level 1 calcium, magnesium, sodium, as well as level 2 total protein and total cholesterol showed excellent performance with sigma values 5. Unacceptable performance was shown by level 1 of urea, creatinine, albumin, total protein, and total cholesterol with sigma values <3. The QGI ratio calculated for the evaluation of the problems with sigma score ≤3 showed that low sigma value of level 1 glucose, urea, creatinine, and total proteins were due to inaccuracy; that of level 1 total cholesterol was due to both imprecision and inaccuracy, while that oxsf level 1 phosphorous was due to imprecision.
Conclusion:
World-class performance on the basis of sigma values were observed for uric acid, total bilirubin, ALT, AST, ALP, TGs, HDL, CPK, and potassium, while certain parameters of level 1, such as urea, creatinine, total protein, albumin, and total cholesterol, showed unacceptable performance. Sigma metric analysis provides a standard for improving assay performance and optimising quality control (QC) operations in the clinical chemistry laboratory.
Key Words:
Quality control, Internal quality control, Assay performance, Sigma metric, Six sigma, Sigma score, Internal quality control performance.
Related Concept Videos
Quality Assurance
Data Validation
Key parameters for method validation include:
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Introduction to Statistical Process Control
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
The X̄ Chart
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...

