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Updated: Jul 25, 2026

13:04
A Protocol for Analyzing Hepatitis C Virus Replication
Published on: June 26, 2014
24.1K
[Six Sigma driven QC management in hepatitis C serology]
Annales De Biologie Clinique
|May 4, 2024
Summary
This study applies the six sigma methodology to infectious disease serology quality control (QC). It demonstrates how a six sigma approach optimizes QC strategies for the anti-HCV Architect test, improving error detection while minimizing false rejections.
Area of Science:
- Clinical Laboratory Science
- Immunology
- Infectious Diseases
Background:
- Westgard quality control (QC) rules are standard in infectious diseases serology.
- Optimizing QC requires balancing error sensitivity and false rejection rates.
- The six sigma methodology offers a framework for robust QC management.
Purpose of the Study:
- To illustrate the six sigma methodology in QC for the anti-HCV Architect test.
- To identify key factors influencing sigma value in serological assays.
- To develop an optimal QC strategy for infectious diseases serology.
Main Methods:
- Utilized 6 months of data from low positive and in-kit control materials with four reagent kits.
- Calculated test precision to determine the error budget.
- Applied the six sigma methodology to assess test performance.
Main Results:
- Achieved sigma values greater than 6, indicating a low error rate (4 erroneous results per million tests).
- The six sigma concept supported the adoption of a new QC strategy (13S rule with one positive control).
- Existing QC rules were relaxed based on the six sigma evaluation.
Conclusions:
- The six sigma methodology provides a framework for evaluating test performance in infectious diseases serology.
- An optimal QC strategy can be designed using the six sigma concept.
- This approach enhances quality requirements and test validation in clinical laboratories.

