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首页> 外文期刊>The joint commission journal on quality and patient safety >Building the Driver Diagram: A Mixed-Methods Approach to Identify Causes of Unplanned Extubations in a Large Neonatal ICU
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Building the Driver Diagram: A Mixed-Methods Approach to Identify Causes of Unplanned Extubations in a Large Neonatal ICU

机译:构建驱动程序图:一种混合方法方法,用于识别大型新生儿ICU中未计划拔管的原因

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摘要

Background: The key driver diagram (KDD) is an important tool used by improvement teams to guide and frame theirwork. Methods to build a KDD when little relevant literature or reliable local data exist are poorly described. This arti-cle describes the process used in our neonatal ICU (NICU) to build a KDD to decrease unplanned extubations (UE) inchronically ventilated infants.Methods: Twenty-seven factors hypothesized to be associated with UE in our NICU were identified. An expert panel of33 staff members completed three rounds of a modified Delphi process administered through an online interface. After thethird round, panel members provided suggestions for interventions to target all factors meeting criteria for consensus. Thesequalitative data were analyzed by inductive thematic analysis. A follow-up survey to all panel members was used to assess thefeasibility of this process for future use.Results: After three Delphi rounds, 14 factors met consensus and eight main interventions were identified through thematicanalysis. These data were used to build a KDD for testing. All participants who completed the follow-up survey (20/20)stated willingness to participate in this process in the future and 18/20 (90%) stated they would be “more willing”or “muchmore willing”to support interventions developed using this process.Conclusion: A novel mixed-methods approach was used to generate a KDD combining a Delphi process with thematicanalysis. This approach provides improvement teams a rigorous and reproducible method to understand local context, generateconsensus KDDs, and improve local buy-in for improvement interventions.
机译:背景:关键驱动程序图(KDD)是改进团队用于指导和框架的重要工具工作。当存在很少的相关文献或可靠的本地数据时,构建KDD的方法也是很差的。这个arti-CLE描述了我们新生儿ICU(NICU)中使用的过程,以构建KDD以减少未共志的拔管(UE)慢性通风婴儿。方法:发现二十七种因素在我们的NICU中与UE相关联。专家小组33名工作人员完成通过在线界面管理的三轮修改的Delphi进程。之后第三轮,小组成员提供了针对符合协商一致标准的所有因素的干预措施的建议。这些通过归纳专题分析分析定性数据。对所有小组成员的后续调查用于评估未来使用此过程的可行性。结果:三轮德尔菲轮后,14个因素达成共识,通过专题确定了八个主要干预措施分析。这些数据用于构建KDD进行测试。完成后续调查的所有参与者(20/20)表示愿意在未来参加这个过程,18/20(90%)表示他们将“更愿意”或“太多更愿意“支持使用此过程制定的干预措施。结论:采用新型混合方法方法生成与专题相结合的KDD分析。这种方法提供了改进团队,以了解本地背景,生成的严格和可重复的方法共识KDD,并改善当地买入改进干预措施。

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