Evaluation of Quality Performance of Hematology Laboratory Testing by Using Sigma Metrics

Authors

  • Putza Chonsawat Diagnostic Laboratory, Hospital for Tropical Diseases Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
  • Asrinda Abdulkanan Diagnostic Laboratory, Hospital for Tropical Diseases Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
  • Vimon Yanpanich Diagnostic Laboratory, Hospital for Tropical Diseases Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
  • Benjamaporn Wongphan Diagnostic Laboratory, Hospital for Tropical Diseases Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand

Keywords:

Quality control, Sigma metrics, Hematology

Abstract

Analytical performance of clinical laboratory analyzers should be routinely assessed to ensure the validity and quality of laboratory results. The aim of this study was to assess the analytical performance of the Mindray BC6200 automatic hematology analyzer in the Hospital for Tropical Diseases by using sigma metrics. The sigma metrics of hematology parameters were calculated from internal quality control (IQC) results and external quality assurance scheme (EQAS) data retrospectively from January to December 2023. The precision and accuracy of white blood cell count (WBC), red blood cell count (RBC), hemoglobin (Hb), hematocrit (Hct), and platelet count (PLT) were aligned within the acceptable limits. The average sigma metrics achieved for the selected parameters, WBC, RBC, Hb, Hct, and PLT, were 6.5, 7.8, 6.7, 5.4, and 7.9, respectively. These results indicated the laboratory achievement at excellent to world-class performance. This performance achievement enabled the laboratory quality control practice to be simpler and to operate with lower budgets. Application of Westgard multirules for high error detection with low false rejection rates was recommended. This study revealed that using sigma metrics as a tool for assessment of analytical performance in a clinical hematology laboratory could enable laboratories to plan continuous quality improvement and to reduce replications and budgets of the IQC process.

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Published

2025-04-28

How to Cite

1.
Chonsawat P, Abdulkanan A, Yanpanich V, Wongphan B. Evaluation of Quality Performance of Hematology Laboratory Testing by Using Sigma Metrics. วารสารเทคนิคการแพทย์ [internet]. 2025 Apr. 28 [cited 2026 Jan. 27];53(1):9430-4. available from: https://he01.tci-thaijo.org/index.php/jmt-amtt/article/view/271753

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Original Articles