The analysis of laboratory sample rejections and the effect of training on the rejection rate

Abstract

INTRODUCTION: The management of preanalytical errors is an important role in contributing to the more effective and reliable study of patient outcomes. The aim of this study is to determine the frequency of the sample rejection of the preanalytical turn, to classify, to evaluate the effect of the education on errors. METHODS: : The rejected samples for the first six months of 2016 were analyzed. Red rates were classified according to the preanalytical errors and the place where they were analyzed. After the training, the same analysis was conducted again in the second half of the year and the effect on the sample rejection rates was followed. RESULTS: The first half of 2016 was 641.218, the last half 603.688 samples 1.244.906 samples were accepted in 1 year. In the first 6 months 7908 the last 6 months 8150, at the end of 1 year 16058 samples were rejected. The total sample rejection rate was 1.29%, 1.23% in the first 6 months and 1.35% in the last 6 months. The most frequent cause was the clotted sample (62.73%) and the insufficient sample (18.8%). Clotted samples were often seen in blood gas and hemogram (whole blood count) samples. There was a decrease in the rejection rates of the samples in biochemistry, hemogram and HbA1c after training (p <0.05). Decrease according to the reasons for rejection was statistically significant in false request and false barcode samples (p <0.05). DISCUSSION AND CONCLUSION: Increasing the frequency of trainings to improve quality will help me achieve the expected reduction in overall deficiencies.

Keywords

• preanalytical errors
• sample rejection
• education
• quality indicator