某三级教学医院病理与微生物实验室差错评估及根本原因分析

A. Roy, D. Das
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引用次数: 3

摘要

背景:临床实验室检测是卫生保健服务的重要组成部分。医学实验室在医疗保健系统和临床医生对患者的决策中发挥着关键作用。在保护消费者的时代,每个人都意识到并努力确保向所有人提供优质保健服务。然而,医疗差错有时会给患者带来不良后果。因此,了解实验室中发生的错误类型,以便制定预防这些错误的策略是很重要的。虽然有文献报道生物化学实验室的错误,但有关病理和微生物实验室的文献却非常有限。目的:本研究是在某三级教学医院的病理学和微生物学实验室进行的一项横断面研究。我们的研究旨在发现这些科室的不同错误,并对这些错误进行根本原因分析。材料与方法:研究时间为3个月。所有的申请单、样品、输入报告和认证报告都经过仔细检查,并根据预先定义的类别记录任何发现的错误。实验室人员、实验室医生、临床医生和病房护士注意到的错误包括在本研究中。记录了每个错误,并对其进行了根本原因分析。数据在Microsoft excel工作表(Microsoft Office excel 2007, Redwoods, WA, USA)上编制,使用GraphPad Prism 5 (GraphPad Software Inc., CA, USA)进行分析。分类资料比较采用卡方检验。结果:在21,746次检测中,记录的错误次数为304次(1.4%)。最常见的错误是分析前(64.5%),其次是分析后(18.1%)和分析时(17.4%)。结论:为了保证患者的安全,必须有一个错误检测程序,并且必须得到承认。必须采取适当的措施来减少实验室的误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation of the errors occurring in pathology and microbiology laboratories of a tertiary care teaching hospital and their root cause analyses
Background: Clinical laboratory testing is an important part of health-care services. Medical laboratories play a pivotal role in the health-care system and the decision-making of clinical doctors about their patients. In the era of consumer protection, everyone is aware of and tries to ensure quality health-care services to all. However, medical errors may sometimes cause undesirable consequences to patients. Therefore, it is important to know the types of errors occurring in laboratories in order to formulate strategies to prevent these. Although literature reporting errors in biochemistry laboratory is available, the literature pertaining to pathology and microbiology laboratories is very limited. Aims: This was a cross-sectional study done in pathology and microbiology laboratories of a tertiary care teaching hospital. Our study aimed to find different errors in these departments and also perform root cause analyses of these errors. Materials and Methods: The study was conducted for a period of 3 months. All the requisition forms, specimens, entered reports, and certified reports were scrutinized, and any error observed as per predefined categories was recorded. Errors that were noticed by laboratory personnel, laboratory doctors, clinicians, and nurses in the wards were included in this study. Each error was documented, and root cause analysis of the same was also done. Data were compiled on Microsoft excel worksheets (Microsoft Office Excel 2007, Redwoods, WA, USA) analyzed with GraphPad Prism 5 (GraphPad Software Inc., CA, USA). Chi-square test was applied to compare categorical data. Results: Among a total of 21,746 tests, a number of errors recorded were 304 (1.4%). The most common errors observed were preanalytical (64.5%), followed by postanalytical (18.1%) and analytical (17.4%). Conclusion: An error detection program must be in place, and it has to be acknowledged in order to ensure patients’ safety. Adequate measures must be adopted to reduce errors in laboratory.
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