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A review of the use of human factors classification frameworks that identify causal factors for adverse events in the hospital setting

机译:审查人为因素分类框架的使用,以识别医院环境中不良事件的因果关系

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摘要

Various human factors classification frameworks have been used to identified causal factors for clinical adverse events. A systematic review was conducted to identify human factors classification frameworks that identified the causal factors (including human error) of adverse events in a hospital setting. Six electronic databases were searched, identifying 1997 articles and 38 of these met inclusion criteria. Most studies included causal contributing factors as well as error and error type, but the nature of coding varied considerably between studies. The ability of human factors classification frameworks to provide information on specific causal factors for an adverse event enables the focus of preventive attention on areas where improvements are most needed. This review highlighted some areas needing considerable improvement in order to meet this need, including better definition of terms, more emphasis on assessing reliability of coding and greater sophistication in analysis of results of the classification. Practitioner Summary: Human factors classification frameworks can be used to identify causal factors of clinical adverse events. However, this review suggests that existing frameworks are diverse, limited in their identification of the context of human error and have poor reliability when used by different individuals.
机译:各种人为因素分类框架已用于识别临床不良事件的原因。进行了系统的审查,以确定人为因素分类框架,以识别医院环境中不良事件的因果关系(包括人为错误)。搜索了六个电子数据库,确定了1997年的文章,其中38篇符合纳入标准。大多数研究包括因果因素以及错误和错误类型,但是研究之间编码的性质差异很大。人为因素分类框架提供有关不良事件的特定因果关系信息的能力使预防性关注的重点放在了最需要改进的地方。这篇综述着重指出了需要满足这些需求的一些方面,包括更好地定义术语,更加重视评估编码的可靠性以及在分类结果分析中更加精巧。从业者摘要:人为因素分类框架可用于识别临床不良事件的因果关系。但是,这项审查表明,现有的框架是多种多样的,它们在识别人为错误的上下文方面受到限制,并且当由不同的个人使用时,其可靠性很差。

著录项

  • 来源
    《Ergonomics》 |2014年第10期|1443-1472|共30页
  • 作者单位

    Transport and Road Safety (TARS) Research, University of New South Wales, Sydney, Australia;

    Transport and Road Safety (TARS) Research, University of New South Wales, Sydney, Australia, School of Aviation, University of New South Wales, Sydney, Australia;

    School of Aviation, University of New South Wales, Sydney, Australia;

    School of Aviation, University of New South Wales, Sydney, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    patient safety; hospital; medical errors; causal factors; reliability;

    机译:患者安全;医院;医疗错误;因果因素;可靠性;
  • 入库时间 2022-08-18 02:15:50

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