Research on Common Error Sources and Quality Control Measures in Blood Testing
Objective To analyze the sources of common errors in blood testing at blood stations and explore the factors that affect these errors,in order to develop effective quality control strategies and improve the accuracy and reliability of blood testing.Methods A total of 180 blood donors who collected blood in laixi blood donation service,Qingdao Blood Center from April 2022 to May 2023 were selected as the study objects.According to the degree of deviation in blood test results,they were divided into an error group(n=90)and a control group(n=90).Retrospective analysis of two groups of general information,operating procedures,testing instruments,testing reagents,testing methods,etc.,the differences in testing results were compared between the two groups,and using logistic regression analysis to identify the influencing factors of errors.Results The deviation ratios and average values of white blood cells,red blood cells,hemoglobin,platelets in the error group were(13.46±4.34)%,(11.25±4.45)%,(12.36±5.57)%,(10.37±2.58)%,(12.14±4.01)%,respectively,which was higher than(2.35±0.23)%,(2.45±0.56)%,(2.67±0.34)%,(2.77±0.45)%,(2.56±0.34)%of control group(P<0.05).The results of logistic regression analysis show that the operational process before and after detection,calibration and maintenance of detection instruments,storage and use of detection reagents,selection and execution of detection methods are all factors affecting errors.Among them,the operational process before and after detection is the most important influencing factor,with an odds ratio(OR)value of 3.212(P<0.001).Conclusion Errors in blood testing at blood stations originate from multiple stages.To ensure the accuracy and reliability of testing,strict quality control must be implemented at each stage,especially in the operation process before and after testing.Standardized procedures should be strictly followed to reduce human interference and errors.
blood testingblood stationsource of errorquality controlinfluencing factorsoperation processdeviation degree