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Patient Misidentification in Laboratory Medicine: A Qualitative Analysis of 227 Root Cause Analysis Reports in the Veterans Health Administration

机译:实验医学中的患者错误识别:退伍军人卫生管理局对227个根本原因分析报告的定性分析

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CONTEXT: Mislabeled laboratory specimens are a common source of harm to patients, such as repeat phlebotomy; repeat diagnostic procedure, including tissue biopsy; delay in a necessary surgical procedure; and the execution of an unnecessary surgical procedure. Mislabeling has been estimated to occur at a rate of 0.1% of all laboratory and anatomic pathology specimens submitted. OBJECTIVE: To identify system vulnerabilities in specimen collection, processing, analysis, and reporting associated with patient misidentification involving the clinical laboratory, anatomic pathology, and blood transfusion services. DESIGN: A qualitative analysis was performed on 227 root cause analysis reports from the Veterans Health Administration. Content analysis of case reports from March 9, 2000, to March 1, 2008, was facilitated by a Natural Language Processing program. Data were categorized by the 3 stages of the laboratory test cycle. RESULTS: Patient misidentification accounted for 182 of 253 adverse events, which occurred in all 3 stages of the test cycle. Of 132 misidentification events occurring in the preanalytic phase, events included wrist bands labeled for the wrong patient were applied on admission (n = 8), and laboratory tests were ordered for the wrong patient by selecting the wrong electronic medical record from a menu of similar names and Social Security numbers (n = 31). Specimen mislabeling during collection was associated with "batching" of specimens and printed labels (n = 35), misinformation from manual entry on laboratory forms (n = 14), failure of 2-source patient identification for clinical laboratory specimens (n = 24), and failure of 2-person verification of patient identity for blood bank specimens (n = 20). Of 37 events in the analytic phase, relabeling all specimens with accession numbers was associated with mislabeled specimen containers, tissue cassettes, and microscopic slides (n = 27). Misidentified microscopic slides were associated with a failure of 2-pathologist verification for cancer diagnosis (n = 4), and wrong patient transfusions were associated with mislabeled blood products (n = 3) and a failure of 2-person verification for blood products before release by the blood bank (n = 3). There were 13 events in the postanalytic phase in which results were reported into the wrong patient medical record (n = 8), and incompatible blood transfusions were associated with failed 2-person verification of blood products (n = 5). CONCLUSIONS: Patient misidentification in the clinical laboratory, anatomic pathology, and blood transfusion processes were due to a limited set of causal factors in all 3 phases of the test cycle. A focus on these factors will inform systemic mitigation and prevention strategies.
机译:背景:标签错误的实验室标本是对患者造成伤害的常见原因,例如重复放血。重复诊断程序,包括组织活检;延迟必要的手术程序;并执行不必要的外科手术。据估计,错误提交的标签占提交的所有实验室和解剖病理学标本的0.1%。目的:确定与患者误识别有关的标本收集,处理,分析和报告中的系统漏洞,涉及临床实验室,解剖病理学和输血服务。设计:对退伍军人卫生管理局的227个根本原因分析报告进行了定性分析。自然语言处理程序促进了2000年3月9日至2008年3月1日病例报告的内容分析。数据按实验室测试周期的3个阶段进行分类。结果:253次不良事件中有182例是患者错误识别,这些不良事件在测试周期的所有三个阶段中均发生。在分析前阶段发生的132个错误识别事件中,入院时应用了包括为错误患者标记的腕带的事件(n = 8),并通过从类似菜单中选择了错误的电子病历,对错误患者进行了化验。姓名和社会安全号码(n = 31)。标本采集过程中的标签错误与标本和印刷标签的“打结”(n = 35),实验室表格上手工输入的错误信息(n = 14),临床实验室标本的两源患者识别失败(n = 24)有关,以及2人血库样本身份验证失败(n = 20)。在分析阶段的37个事件中,用登录号重新标记所有标本与标错标签的标本容器,组织盒和显微镜载玻片有关(n = 27)。显微镜载玻片的错误识别与2病理学家对癌症诊断的验证失败(n = 4),错误的患者输血与标签错误的血液制品(n = 3)以及2人在发行前对血液制品的验证失败有关通过血库(n = 3)。分析后阶段有13个事件,其中结果报告到错误的患者病历中(n = 8),输血不兼容与2人血液制品验证失败相关(n = 5)。结论:在临床实验室,解剖病理学和输血过程中对患者的错误识别是由于在测试周期的所有三个阶段中,因果因素集有限。对这些因素的关注将为系统缓解和预防策略提供依据。

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    《Archives of Pathology & Laboratory Medicine》 |2010年第2期|p.244-255|共12页
  • 作者

    Edward J Dunn Paul J Moga;

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    Edward J. Dunn, MD, ScD, Paul J. Moga, DO, PhDAccepted for publication April 30, 2009.From the Lexington VA Medical Center, and the Department of Surgery, University of Kentucky, Lexington (Dr Dunn), and the Veterans Health Administration, Division of Ambulatory Care and Integrative Medicine, VA Ann Arbor Healthcare System, Ann Arbor, Michigan (Dr Moga).The authors have no relevant financial interest in the products or companies described in this article.Reprints: Edward J. Dunn, MD, ScD, Lexington VA Medical Center, 1101 Veterans Dr, Lexington, KY 40502 (e-mail: edward.dunn@va.gov).,;

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