Application of biological variation and six sigma models to evaluate analytical quality of six HbA1c analyzers and design quality control strategy
Autor: | Ting Hu, Minghuan Suo, Xia Wang, Weijia Wang, Dongmei Wen |
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Rok vydání: | 2019 |
Předmět: |
Quality management
Coefficient of variation media_common.quotation_subject Control (management) Biomedical Engineering Six Sigma Pharmaceutical Science Medicine (miscellaneous) Sigma 02 engineering and technology General Medicine 021001 nanoscience & nanotechnology Reliability engineering Internal quality 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis Biological variation Quality (business) 0210 nano-technology Biotechnology Mathematics media_common |
Zdroj: | Artificial Cells, Nanomedicine, and Biotechnology. 47:3598-3602 |
ISSN: | 2169-141X 2169-1401 |
DOI: | 10.1080/21691401.2019.1642207 |
Popis: | Objective: To apply biological variation and six Sigma models to evaluate analysis performance of 6 HbA1c analyzers and design the new quality control strategy. Method: We collected data of imprecision and inaccuracy from routine internal quality control (June 2017-December 2017) and proficiency test of NGSP, respectively. The coefficient of variance (CV)% and bias% were plotted in the biological variation and six sigma models. The new quality control strategy was designed by the sigma value and OPSpecs. The quality improvement was guided by the QGI. Results: The analytical performance of 6 HbA1c analyzers in our laboratory were good in the routine model, However, 50% (3/6) and 67% (4/6) of the HbA1c analyzers reached the acceptable level in the biological variation and six Sigma model, respectively. We also design personalized control strategy and promote quality improvement by combining the sigma value, OPSpecs, and QGI. Conclusions: Biological variation model and six sigma model could visually display the performance of 6 HbA1c analyzers and personalized control strategy could be designed based on the sigma value, OPSpecs, and QGI. |
Databáze: | OpenAIRE |
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