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      Total Clinical Chemistry Laboratory Errors and Evaluation of the Analytical Quality Control Using Sigma Metric for Routine Clinical Chemistry Tests

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          Abstract

          Background

          Currently, the use of clinical laboratory tests is growing at a promising rate and about 80% of the clinical decisions made are based on the laboratory test results. Therefore, it is a major task to achieve quality service. This study was conducted to assess the magnitude of errors in the total testing process of Clinical Chemistry Laboratory and to evaluate analytical quality control using sigma metrics.

          Methods

          A cross-sectional study was conducted at Dessie Comprehensive Specialized Hospital Clinical Chemistry Laboratory, Northeast Ethiopia, from 10 February 2020 to 10 June 2020. All Clinical Chemistry Laboratory test requests with their respective samples, external quality control and all daily internal quality control data during the study period were included in the study. Data were collected using a prepared checklist and analyzed using SPSS version 21.

          Results

          A total of 4719 blood samples with their test requests were included in the study. Out of 145,383 quality indicators, an error rate of 22,301 (15.3%) was identified in the total testing process. Of the total errors, 76.3% were pre-analytical, 2.1% were analytical and 21.6% were post-analytical errors (p<0.0001). Of the total 14 analytes in the sigma metric evaluation, except ALP, all routine clinical chemistry tests were below the standard (<3). In multivariate logistic regression, the location of patients in the inpatient department was significantly associated with the specimen rejection ((AOR=1.837, 95% CI (1.288–2.618), p=0.001).

          Conclusion

          The study found a higher frequency of errors in the total testing process in the Clinical Chemistry Laboratory and almost all test parameters had an unsatisfactory sigma metric value.

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          Most cited references52

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          Principles and methods of validity and reliability testing of questionnaires used in social and health science researches.

          The importance of measuring the accuracy and consistency of research instruments (especially questionnaires) known as validity and reliability, respectively, have been documented in several studies, but their measure is not commonly carried out among health and social science researchers in developing countries. This has been linked to the dearth of knowledge of these tests. This is a review article which comprehensively explores and describes the validity and reliability of a research instrument (with special reference to questionnaire). It further discusses various forms of validity and reliability tests with concise examples and finally explains various methods of analysing these tests with scientific principles guiding such analysis.
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            The '70% claim': what is the evidence base?

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              Sigma metrics used to assess analytical quality of clinical chemistry assays: importance of the allowable total error (TEa) target.

              Six Sigma metrics were used to assess the analytical quality of automated clinical chemistry and immunoassay tests in a large Belgian clinical laboratory and to explore the importance of the source used for estimation of the allowable total error. Clinical laboratories are continually challenged to maintain analytical quality. However, it is difficult to measure assay quality objectively and quantitatively.
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                Author and article information

                Journal
                J Multidiscip Healthc
                J Multidiscip Healthc
                jmdh
                jmulthealth
                Journal of Multidisciplinary Healthcare
                Dove
                1178-2390
                15 January 2021
                2021
                : 14
                : 125-136
                Affiliations
                [1 ]Department of Medical Laboratory, Dessie Comprehensive Specialized Hospital , Dessie, Ethiopia
                [2 ]Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar , Gondar, Ethiopia
                Author notes
                Correspondence: Daniel Asmelash Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar , P.O Box 196, Gondar, Ethiopia Email daniel.asmelash111@gmail.com
                Author information
                http://orcid.org/0000-0003-1479-5265
                http://orcid.org/0000-0001-8345-2982
                Article
                286679
                10.2147/JMDH.S286679
                7815085
                33488088
                a15ff39c-596d-4a1a-8053-ff3679743135
                © 2021 Teshome et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 14 October 2020
                : 06 January 2021
                Page count
                Figures: 0, Tables: 19, References: 54, Pages: 12
                Funding
                Funded by: No specific funding was obtained;
                No specific funding was obtained for this study.
                Categories
                Original Research

                Medicine
                analytical errors,clinical chemistry laboratory,post-analytical errors,pre-analytical errors,sigma metrics,ethiopia

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