Pre-analytical phase errors constitute the vast majority of errors in clinical laboratory testing.

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Yanchun Lin, Nicholas C Spies, Kimberly Zohner, Diane McCoy, Mark A Zaydman, Christopher W Farnsworth
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引用次数: 0

Abstract

Objectives: Clinical laboratory errors pose a threat to patient safety and previous studies have demonstrated that pre-analytical error is the most common error type. Our study aimed to determine the types and frequency of errors occurring in clinical laboratory testing in contemporary practice.

Methods: Errors occurring in a core laboratory between 01/2022 and 05/2023 were recorded retrospectively. Errors were quantified using multiple data-streams including real-time manual technologist intervention, incidence reports filed by hospital staff/physicians, and retrospective assessment using automated reports from the lab information system (LIS). Errors were adjudicated and binned into pre-analytical, analytical, and post-analytical phases. Total test volumes were assessed in the LIS and electronic medical record.

Results: There were 37,680,242 billable results reported from approximately 11,000,000 specimens during the study period. In total, 87,317 errors occurred impacting 0.23 % (2,300 ppm) of billable results and approximately 0.79 % (7,900 ppm) of specimens. Among these errors, 85,894 (98.4 %, 984,000 ppm) were in the pre-analytical, 451 (0.5 %, 5,000 ppm) were in the analytical, and 972 (1.1 %, 11,000 ppm) occurred in the post-analytical phase. Hemolysis impacting specimen integrity (60,748/87,317, 69.6 %, 696,000 ppm) was the most common error. When excluding hemolysis, there were 26,569 errors documented (0.06 %, 600 ppm of billable results), among which 94.6 %, 1.7 % (17,000 ppm) and 3.7 % (37,000 ppm) were in the pre-analytical, analytical and post-analytical phase respectively.

Conclusions: Observed error rates were consistent with previous studies with pre-analytical errors comprising most errors. High prevalence of pre-analytical errors implies a need for enhanced tools for error detection and mitigation in the pre-analytical phase of testing.

分析前阶段错误构成了临床实验室检测中绝大多数错误。
目的:临床实验室错误对患者安全构成威胁,以前的研究表明,分析前错误是最常见的错误类型。我们的研究旨在确定的类型和错误的频率发生在临床实验室测试在当代实践。方法:回顾性记录某核心实验室在2022年1月至2023年5月间发生的差错。使用多种数据流对错误进行量化,包括实时人工技术人员干预、医院工作人员/医生提交的发病率报告,以及使用实验室信息系统(LIS)自动报告的回顾性评估。错误被判定并分为分析前、分析后和分析后三个阶段。在LIS和电子病历中评估总检测量。结果:在研究期间,约11,000,000例标本中报告了37,680,242例可计费结果。总共发生了87,317个错误,影响了0.23 %(2,300 ppm)的可计费结果和大约0.79 %(7,900 ppm)的标本。在这些错误中,85,894(98.4 %,984,000 ppm)发生在分析前,451(0.5 %,5,000 ppm)发生在分析中,972(1.1 %,11,000 ppm)发生在分析后阶段。溶血影响标本完整性(60,748/87,317,69.6 %,696,000 ppm)是最常见的误差。当排除溶血时,记录的误差为26,569个(计费结果的0.06 %,600 ppm),其中94.6 %,1.7 %(17,000 ppm)和3.7 %(37,000 ppm)分别发生在分析前,分析和分析后阶段。结论:观察到的错误率与先前的研究一致,分析前错误包括大多数错误。分析前错误的高发意味着在测试的分析前阶段需要加强错误检测和减少的工具。
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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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