Hatch L Dupree, Scott Theresa A, Rivard Matthew, Rivard Amanda, Bolton Joyce, Sala Christa, Araya Wendy, Markham Melinda H, Stark Ann R, Grubb Peter H
Jt Comm J Qual Patient Saf. 2019 Jan;45(1):40-46. doi: 10.1016/j.jcjq.2018.02.008. Epub 2018 Aug 2.
The key driver diagram (KDD) is an important tool used by improvement teams to guide and frame their work. Methods to build a KDD when little relevant literature or reliable local data exist are poorly described. This article describes the process used in our neonatal ICU (NICU) to build a KDD to decrease unplanned extubations (UE) in chronically ventilated infants.
Twenty-seven factors hypothesized to be associated with UE in our NICU were identified. An expert panel of 33 staff members completed three rounds of a modified Delphi process administered through an online interface. After the third round, panel members provided suggestions for interventions to target all factors meeting criteria for consensus. These qualitative data were analyzed by inductive thematic analysis. A follow-up survey to all panel members was used to assess the feasibility of this process for future use.
After three Delphi rounds, 14 factors met consensus and eight main interventions were identified through thematic analysis. 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 "much more willing" to support interventions developed using this process.
A novel mixed-methods approach was used to generate a KDD combining a Delphi process with thematic analysis. This approach provides improvement teams a rigorous and reproducible method to understand local context, generate consensus KDDs, and improve local buy-in for improvement interventions.
关键驱动因素图(KDD)是改进团队用于指导和构建其工作的重要工具。当相关文献或可靠的本地数据很少时,构建KDD的方法描述得很差。本文描述了我们新生儿重症监护病房(NICU)为构建KDD以减少长期通气婴儿的非计划拔管(UE)所使用的过程。
确定了27个假设与我们NICU中的UE相关的因素。一个由33名工作人员组成的专家小组通过在线界面完成了三轮修改后的德尔菲法。在第三轮之后,小组成员针对所有符合共识标准的因素提出了干预建议。这些定性数据通过归纳主题分析进行了分析。对所有小组成员进行了后续调查,以评估该过程未来使用的可行性。
经过三轮德尔菲法,14个因素达成了共识,并通过主题分析确定了8项主要干预措施。这些数据用于构建KDD进行测试。所有完成后续调查的参与者(20/20)表示愿意在未来参与这个过程,18/20(90%)表示他们会“更愿意”或“非常愿意”支持使用这个过程制定的干预措施。
采用了一种新颖的混合方法来生成结合德尔菲法和主题分析的KDD。这种方法为改进团队提供了一种严谨且可重复的方法,以了解当地情况,生成共识性的KDD,并提高对改进干预措施的本地支持度。