Appraisal of six sigma in pre-analytical phase of clinical biochemistry laboratory

Objectives: The aim of the study is to measure the performance of pre-analytical phase of a clinical biochemistry laboratory using sigma metrics and the six sigma scale. Materials and Methods: The study included documented data of blood sample rejection from March 2023 to February 2024 and follow-up data from March 2024 to August 2024. International Federation of Clinical Chemistry and Laboratory Medicine developed Quality Indicators (QIs) used are QI-9 Wrong tubes; QI-10 Hemolyzed samples; QI-11 Clotted samples; QI-12 Insufficient samples; QI-14 Damaged samples in transport; and QI-15 Mislabeled samples. Based on “Six Sigma Quality Design and Control” established by Dr. Westgard, the sigma metric was calculated for the above-mentioned QIs. Statistical analysis: Obtained data were entered and analyzed using Microsoft Excel 2021. Results: Out of 162,380 received samples, 547 samples were rejected as not satisfied with the sample acceptance criteria. The most common pre-analytical error in the observed QIs is hemolyzed samples (458), followed by insufficient sample volume (55). The Sigma score of QI-10 was determined to be 4.81, whereas QI-9, QI-11, QI-12, and QI-15 were well maintained and graded excellent. Following training sessions, the follow-up month revealed a sigma score of 4.98 for QI-10. Conclusions: Six sigma metrics are a competent means to measure the performance of pre-analytical QIs in a clinical biochemistry laboratory. The observed QIs were effectively managed (>4 σ).

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Journal
Journal of Laboratory Physicians
Published
2024-11-05
DOI
https://doi.org/10.25259/jlp_163_2024
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
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article

Appraisal of six sigma in pre-analytical phase of clinical biochemistry laboratory

K. A. Arul Senghor, VM Vinodhini, G. Parkavi
Journal of Laboratory Physicians
Clinical Laboratory Practices and Quality Control
article

Appraisal of six sigma in pre-analytical phase of clinical biochemistry laboratory

K. A. Arul Senghor, VM Vinodhini, G. Parkavi
article en

Abstract

Objectives: The aim of the study is to measure the performance of pre-analytical phase of a clinical biochemistry laboratory using sigma metrics and the six sigma scale. Materials and Methods: The study included documented data of blood sample rejection from March 2023 to February 2024 and follow-up data from March 2024 to August 2024. International Federation of Clinical Chemistry and Laboratory Medicine developed Quality Indicators (QIs) used are QI-9 Wrong tubes; QI-10 Hemolyzed samples; QI-11 Clotted samples; QI-12 Insufficient samples; QI-14 Damaged samples in transport; and QI-15 Mislabeled samples. Based on “Six Sigma Quality Design and Control” established by Dr. Westgard, the sigma metric was calculated for the above-mentioned QIs. Statistical analysis: Obtained data were entered and analyzed using Microsoft Excel 2021. Results: Out of 162,380 received samples, 547 samples were rejected as not satisfied with the sample acceptance criteria. The most common pre-analytical error in the observed QIs is hemolyzed samples (458), followed by insufficient sample volume (55). The Sigma score of QI-10 was determined to be 4.81, whereas QI-9, QI-11, QI-12, and QI-15 were well maintained and graded excellent. Following training sessions, the follow-up month revealed a sigma score of 4.98 for QI-10. Conclusions: Six sigma metrics are a competent means to measure the performance of pre-analytical QIs in a clinical biochemistry laboratory. The observed QIs were effectively managed (>4 σ).

Journal of Laboratory PhysiciansVol. 16
ACS Medical College and Hospital (IN), Sri Ramachandra Medical Centre (IN), Trichy SRM Medical College Hospital and Research Centre (IN)
Partnerships for the goals
Openalex Percentile: Top 73%
Clinical Laboratory Practices and Quality Control
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Appraisal of six sigma in pre-analytical phase of clinical biochemistry laboratory — K. A. Arul Senghor, VM Vinodhini, et al. · Journal of Laboratory Physicians (2024) | TGRS Research Map | TGRS