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

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 ed...

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Main Author: Aysun Ekinci
Format: Article
Language:English
Published: Van Yuzuncu Yil University, School of Medicine 2019-01-01
Series:Van Tıp Dergisi
Subjects:
Online Access:https://jag.journalagent.com/z4/download_fulltext.asp?pdir=vtd&un=VTD-03521
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author Aysun Ekinci
author_facet Aysun Ekinci
author_sort Aysun Ekinci
collection DOAJ
description 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.
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spelling doaj.art-39107aae39394706b81d9c86e40692f52023-12-03T09:01:21ZengVan Yuzuncu Yil University, School of MedicineVan Tıp Dergisi2587-03512019-01-01261798410.5505/vtd.2019.03521VTD-03521The analysis of laboratory sample rejections and the effect of training on the rejection rateAysun Ekinci0Dicle University Hospital Central Biochemistry Laboratory, Diyarbakır, TurkeyINTRODUCTION: 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.https://jag.journalagent.com/z4/download_fulltext.asp?pdir=vtd&un=VTD-03521preanalytical errorssample rejectioneducationquality indicator
spellingShingle Aysun Ekinci
The analysis of laboratory sample rejections and the effect of training on the rejection rate
Van Tıp Dergisi
preanalytical errors
sample rejection
education
quality indicator
title The analysis of laboratory sample rejections and the effect of training on the rejection rate
title_full The analysis of laboratory sample rejections and the effect of training on the rejection rate
title_fullStr The analysis of laboratory sample rejections and the effect of training on the rejection rate
title_full_unstemmed The analysis of laboratory sample rejections and the effect of training on the rejection rate
title_short The analysis of laboratory sample rejections and the effect of training on the rejection rate
title_sort analysis of laboratory sample rejections and the effect of training on the rejection rate
topic preanalytical errors
sample rejection
education
quality indicator
url https://jag.journalagent.com/z4/download_fulltext.asp?pdir=vtd&un=VTD-03521
work_keys_str_mv AT aysunekinci theanalysisoflaboratorysamplerejectionsandtheeffectoftrainingontherejectionrate
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