Patient risk management in laboratory medicine: an international survey to assess the severity of harm associated with erroneous reported results.

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Clinical chemistry and laboratory medicine Pub Date : 2025-03-03 DOI:10.1515/cclm-2024-1477
Lucas Peltier, Sophie Van Aelst, Bart Peeters, Jean-Baptiste Raimbourg, John Yundt-Pacheco
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Abstract

Objectives: Patient risk management is an essential subject for clinical laboratory which is now central in main international laboratory quality standards (e.g., ISO 15989:2022; ISO 22367:2020 and CLSI EP232nd). Risk analysis is a necessary part of risk management which requires categorizing the severity of patient harm from a laboratory failure. However, this subjective task is not currently the subject of any recommendation and little literature about this topic. To remedy that, we conducted an international survey of medical biology professionals, asking them to rate a panel of 20 analytes the harm potentially induced by an erroneous reported result.

Methods: The survey was published by Bio-Rad® to their customers base and the public with a dedicated webpage. The survey proposes to assign for the submitted analytes the amount of harm among five pre-defined categories of harm: negligible, minor, serious, critical, and catastrophic. Participants were also asked to specify their demographic characteristics.

Results: The questionnaires of 267 respondents coming from 43 countries were analyzed to allocate for each analyte a specific harm category. We highlight that almost all parameters (19/20) were categorized with at least a serious harm category and that none were associated with the negligible category.

Conclusions: This study constitutes the first international attempt to investigate how the laboratory community thinks about patient harm from an erroneous reported result. These results provide support to document the laboratory risk management policy which must now be centered on patient risk.

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目的:患者风险管理是临床实验室的一个重要课题,现已成为主要国际实验室质量标准(如 ISO 15989:2022、ISO 22367:2020 和 CLSI EP232nd)的核心内容。风险分析是风险管理的必要组成部分,要求对实验室故障对患者造成伤害的严重程度进行分类。然而,这项主观性很强的工作目前还没有任何建议,有关这方面的文献也很少。为了弥补这一缺陷,我们对医学生物学专业人员进行了一次国际调查,要求他们对 20 种分析物进行评级,以确定错误报告结果可能造成的伤害:调查由 Bio-Rad® 通过专门的网页向其客户群和公众发布。调查建议对提交的分析物在五个预先定义的危害类别中分配危害程度:可忽略、轻微、严重、危急和灾难性。此外,还要求参与者说明其人口统计特征:对来自 43 个国家的 267 名受访者的问卷进行了分析,以便为每种分析物分配一个特定的危害类别。我们强调,几乎所有参数(19/20)都至少被归入严重危害类别,没有一个参数被归入可忽略类别:这项研究是国际上首次尝试调查实验室界如何看待错误报告结果对患者造成的伤害。这些结果为记录实验室风险管理政策提供了支持,该政策现在必须以患者风险为中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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