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Assessment of Sigma Metrics for Commonly Assayed Clinical Chemistry Parameters at Public Hospital Laboratory in East Wellaga Zone, Western Oromia, Ethiopia

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dc.contributor.author Bedasa Adimasu
dc.contributor.author Sintayehu Asaye
dc.contributor.author Misgana Bekele
dc.contributor.author Fanta Obsa
dc.date.accessioned 2023-08-23T14:41:43Z
dc.date.available 2023-08-23T14:41:43Z
dc.date.issued 2023-06-07
dc.identifier.uri https://repository.ju.edu.et//handle/123456789/8384
dc.description.abstract Background: Clinical laboratories approve the validity of the analysis process according to quality control procedures for each Clinical chemistry parameters. The sigma Metrics offer an objective tool to inspect and judge on the performance of analytical quality control, and hence select the suitable Westgard rule(s) to monitor the assay performance. Objectives: To evaluate sigma metrics of commonly assayed clinical chemistry parameters at Nekemte Specialized and Wellaga University Referral Hospitals Laboratory from September 2021 to February 2022. Methods: A retrospective cross-sectional study was conducted to retrieved internal quality control of 14 commonly assayed chemistry parameters for over a period of 6 months (September 2021 to February 2022) along with external QC result from one world accuracy. Excel 2010 software (Microsoft Corporation) was used for data analysis and graphing. Descriptive statistics and Sigma value was analyzed using Total allowable error (TEa%),Bias% and CV% . Result: Sigma values were calculated for both the levels of internal QC. At level one QC solution; > 6 sigma were observed for HDL and UA. At level two QC solution; >6 sigma were observed for BIL-T and TG. Four analytes (AST,BIL-T,CHOL-T and UA) showed between 3-5 sigma at L 1 and three analytes (AST, HDL and UA) at L2 QC, and out of 14 analytes 9 (ALT, ALB, UREA, CREAT, LDL, TG, Na, Cl, K) showed < 3 sigma performance for both control levels. Conclusion: Sigma metrics results show poor performance laboratories in the quality control processes. Thus strong quality control measures should be implemented to improve clinical chemistry tests at the study sites. As sigma metrics is a good quality assessment tool, similar studies should conduct to strengthen the QC & test results in other laboratories in the study areas as well at the national level. en_US
dc.language.iso en en_US
dc.subject Bias en_US
dc.subject imprecision en_US
dc.subject Quality Control en_US
dc.subject Proficiency test Sigma metrics en_US
dc.subject Total allowable error en_US
dc.title Assessment of Sigma Metrics for Commonly Assayed Clinical Chemistry Parameters at Public Hospital Laboratory in East Wellaga Zone, Western Oromia, Ethiopia en_US
dc.type Thesis en_US


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