Department of Comparative, Diagnostic, and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Vet Clin Pathol. 2020 Jun;49(2):240-248. doi: 10.1111/vcp.12851. Epub 2020 Apr 16.
The accuracy of laboratory data is of utmost importance. Data regarding laboratory error in human laboratories are often extrapolated into veterinary settings. One study investigated the rate and type of errors in a European commercial veterinary laboratory, but that data might not directly apply to an educational setting.
This study determined the frequency and type of errors in laboratory medicine at a veterinary teaching hospital.
Errors associated with clinical pathology samples were recorded over two 60-day periods. The first period included a time when new students and house officers started at the veterinary school. The second time period was 6 months later. The errors were assigned to categories, and the frequency of each was calculated. Sample hemolysis, icterus, and lipemia were evaluated separately using an automated index, as these conditions could be pathologic or the result of error. Frequencies of error and hemolysis, icterus, and lipemia were assessed between the groups.
Total error rates were 4.7% and 3.5% for the first and second periods, respectively. The frequency of each error subclassification was similar to those observed in the veterinary and human literature, with preanalytic error predominating. Statistically significant differences in the overall error rate and percentage of preanalytic errors that occurred outside of and within the laboratory were observed comparing differences between the two periods.
The overall error rate in this veterinary teaching hospital was slightly higher than that previously reported in other settings, although a proportion of errors was as expected. Areas needing improvement were identified, and strategies to reduce error could be developed.
实验室数据的准确性至关重要。通常将人类实验室的实验室误差数据推断到兽医环境中。有一项研究调查了一家欧洲商业兽医实验室的错误率和类型,但这些数据可能无法直接应用于教育环境。
本研究确定了兽医教学医院检验科的错误频率和类型。
在两个 60 天的时间段内记录与临床病理学样本相关的错误。第一个时间段包括兽医学校新学生和住院医师开始的时间。第二个时间段是 6 个月后。将错误分配到类别,并计算每种错误的频率。使用自动指数分别评估样本溶血、黄疸和脂血,因为这些情况可能是病理性的,也可能是错误的结果。评估了两组之间的错误和溶血、黄疸和脂血的频率。
第一和第二阶段的总错误率分别为 4.7%和 3.5%。每个错误子分类的频率与兽医和人类文献中观察到的频率相似,以分析前误差为主。在比较两个时期之间的差异时,观察到总体错误率和实验室外及实验室内部发生的分析前错误百分比的统计学显著差异。
与其他环境相比,这家兽医教学医院的总体错误率略高,但一部分错误是预期的。确定了需要改进的领域,并可以制定减少错误的策略。