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Evaluation of urine iodine external quality control results by software Origin in Liaoning Province in 2017 / 中华地方病学杂志
Chinese Journal of Endemiology ; (12): 751-754, 2019.
Article in Chinese | WPRIM | ID: wpr-790921
ABSTRACT
Objective Software Origin was used to evaluate urine iodine external quality control results in Liaoning Province in 2017,and to promote the application of software Origin in laboratory proficiency testing and to improve the urine iodine detection capability of laboratories in Liaoning Province.Methods In 2017,1 provincial-,14 municipal-and 33 county-level disease prevention and control institution laboratories in Liaoning Province were numbered,1-15provincial and municipal levels,16-48county-level.Software Origin 9.5 was used to produce the Z-ratio histogram,the deviation bar graph of repeated measurement results and the Youden plot of urine iodine external quality control results.When |Z| ≤2,it was satisfactory;when 2 < |Z| < 3,it indicated problems;when |Z| ≥3,it was not satisfactory.Based on | Z| scores of laboratories,systematic errors and random errors were analyzed.Results Most laboratories had scores of |Z| ≤2,the results were satisfactory.Laboratory 36 had scores of |Z| > 3,the result was not satisfactory,there were both systematic errors and random errors.The deviation bar graph of repeated measurement results showed that the precision of the high concentration test results in laboratory 21 was poor.Conclusions The software Origin is suitable to evaluate laboratory proficiency testing.The capacity of urine iodine detection in the county-level laboratories in Liaoning Province needs to be improved.Systematic errors and random errors still exist in individual laboratories.It is necessary to find the causes of errors,and strengthen laboratory internal quality control and improve the quality of the laboratory.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2019 Type: Article