期刊论文详细信息
Indian journal of clinical biochemistry: IJCB
Evaluation of Preanalytical Quality Indicators by Six Sigma and Pareto`s Principle
R. Ramesh1  Sweta Kulkarni2 
[1] Akash Institute of Medical Sciences and Research Centre;Mahatma Gandhi Medical College and Research Institute
关键词: Preanalytical error;    Six sigma;    Pareto chart;    Test requisition form;    Blood samples;   
DOI  :  10.1007/s12291-017-0654-5
学科分类:过敏症与临床免疫学
来源: Springer
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【 摘 要 】

Preanalytical steps are the major sources of error in clinical laboratory. The analytical errors can be corrected by quality control procedures but there is a need for stringent quality checks in preanalytical area as these processes are done outside the laboratory. Sigma value depicts the performance of laboratory and its quality measures. Hence in the present study six sigma and Pareto principle was applied to preanalytical quality indicators to evaluate the clinical biochemistry laboratory performance. This observational study was carried out for a period of 1 year from November 2015–2016. A total of 1,44,208 samples and 54,265 test requisition forms were screened for preanalytical errors like missing patient information, sample collection details in forms and hemolysed, lipemic, inappropriate, insufficient samples and total number of errors were calculated and converted into defects per million and sigma scale. Pareto`s chart was drawn using total number of errors and cumulative percentage. In 75% test requisition forms diagnosis was not mentioned and sigma value of 0.9 was obtained and for other errors like sample receiving time, stat and type of sample sigma values were 2.9, 2.6, and 2.8 respectively. For insufficient sample and improper ratio of blood to anticoagulant sigma value was 4.3. Pareto`s chart depicts out of 80% of errors in requisition forms, 20% is contributed by missing information like diagnosis. The development of quality indicators, application of six sigma and Pareto`s principle are quality measures by which not only preanalytical, the total testing process can be improved.

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