Hettinger A Zachary, Fairbanks Rollin J, Hegde Sudeep, Rackoff Alexandra S, Wreathall John, Lewis Vicki L, Bisantz Ann M, Wears Robert L
Assistant Professor, Emergency Medicine at Georgetown University School of Medicine and Director of Informatics Research, National Center for Human Factors in Healthcare.
J Healthc Risk Manag. 2013;33(2):11-20. doi: 10.1002/jhrm.21122.
Root cause analysis (RCA) after adverse events in healthcare is a standard practice at many institutions. However, healthcare has failed to see a dramatic improvement in patient safety over the last decade. In order to improve the RCA process, this study used systems safety science, which is based partly on human factors engineering principles and has been applied with success in other high-risk industries like aviation. A multi-institutional dataset of 334 RCA cases and 782 solutions was analyzed using qualitative methods. A team of safety science experts developed a model of 13 RCA solutions categories through an iterative process, using semi-structured interview data from 44 frontline staff members from 7 different hospital-based unit types. These categories were placed in a model and toolkit to help guide RCA teams in developing sustainable and effective solutions to prevent future adverse events. This study was limited by its retrospective review of cases and use of interviews rather than clinical observations. In conclusion, systems safety principles were used to develop guidelines for RCA teams to promote systems-level sustainable and effective solutions for adverse events.
医疗保健领域不良事件后的根本原因分析(RCA)在许多机构都是一种标准做法。然而,在过去十年中,医疗保健领域在患者安全方面并未取得显著改善。为了改进RCA流程,本研究采用了系统安全科学,该科学部分基于人因工程学原理,并且已在航空等其他高风险行业成功应用。使用定性方法分析了一个包含334个RCA案例和782个解决方案的多机构数据集。一组安全科学专家通过迭代过程,利用来自7种不同医院科室类型的44名一线工作人员的半结构化访谈数据,开发了一个包含13个RCA解决方案类别的模型。这些类别被纳入一个模型和工具包,以帮助指导RCA团队制定可持续且有效的解决方案,防止未来发生不良事件。本研究受到其对案例的回顾性审查以及使用访谈而非临床观察的限制。总之,系统安全原则被用于为RCA团队制定指南,以促进针对不良事件的系统级可持续且有效解决方案。