拆解行动意图差距:一项了解医生如何参与审计和反馈的定性研究。

Laura Desveaux, Noah Michael Ivers, Kim Devotta, Noor Ramji, Karen Weyman, Tara Kiran
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引用次数: 20

摘要

背景:审计和反馈(A&F)通常能成功地增强卫生专业人员提高护理质量的意愿,但不能始终如一地导致实践变化。接收方经常将数据可信度和有限的资源作为阻碍他们根据A&F采取行动的障碍,这表明在接收方与他们的数据交互时,意图到行动的差距就会显现出来。虽然已经注意到反馈和上下文变量在促进(或阻碍)成功方面所起的作用,但我们缺乏对医疗保健专业人员如何与临床表现数据交互和处理的细致理解。方法:采用归一化过程理论(NPT)指导下的定性半结构化访谈。问题探讨了数据在质量改进中的作用,对A&F报告的经验,对数据的看法,以及解释和反思。采访录音并逐字抄写。数据分析使用归纳和演绎策略的结合,使用反身性主题分析,以建构主义范式为基础。结果:医疗保健专业特征(个人质量改进能力和对数据的信念)似乎比反馈变量(即同伴传递)和观察到的环境因素(即强大的质量改进文化)更大程度地影响对A&F的参与。尽管有有意义地参与的动机,但大多数参与者缺乏以可操作的方式解释实践级数据的能力。意向到行动差距的原因包括解释纵向数据的挑战,理解共同数据源的细微差别,理解汇总数据如何提供个性化护理的见解,以及确定实践层面的行动以提高质量。正如《不扩散核武器条约》所概述的那样,这些因素限制了有效的认知参与和集体行动。结论:精心设计的A&F干预是必要的,但不足以通知实践变化。A&F计划必须包括共同干预,以解决接受者的特征(即,信仰和能力)和环境,以优化影响。克服意向到行动差距的有效策略可能包括如何利用A&F为实践变化提供信息,为与A&F有关的社会互动提供机会,以及传播为响应A&F而采取的有效行动的例子。更广泛地说,本科医学教育和研究生培训必须确保医生具备QI能力,重点是解释和处理实践级数据所需的技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unpacking the intention to action gap: a qualitative study understanding how physicians engage with audit and feedback.

Unpacking the intention to action gap: a qualitative study understanding how physicians engage with audit and feedback.

Background: Audit and feedback (A&F) often successfully enhances health professionals' intentions to improve quality of care but does not consistently lead to practice changes. Recipients often cite data credibility and limited resources as barriers impeding their ability to act upon A&F, suggesting the intention-to-action gap manifests while recipients are interacting with their data. While attention has been paid to the role feedback and contextual variables play in contributing to (or impeding) success, we lack a nuanced understanding of how healthcare professionals interact with and process clinical performance data.

Methods: We used qualitative, semi-structured interviews guided by Normalization Process Theory (NPT). Questions explored the role of data in quality improvement, experiences with the A&F report, perceptions of the data, and interpretations and reflections. Interviews were audio-recorded and transcribed verbatim. Data were analyzed using a combination of inductive and deductive strategies using reflexive thematic analysis informed by a constructivist paradigm.

Results: Healthcare professional characteristics (individual quality improvement capabilities and beliefs about data) seem to influence engagement with A&F to a greater degree than feedback variables (i.e., delivered by peers) and observed contextual factors (i.e., strong quality improvement culture). Most participants lacked the capabilities to interpret practice-level data in an actionable way despite a motivation to engage meaningfully. Reasons for the intention-to-action gap included challenges interpreting longitudinal data, appreciating the nuances of common data sources, understanding how aggregate data provides insights into individualized care, and identifying practice-level actions to improve quality. These factors limited effective cognitive participation and collective action, as outlined in NPT.

Conclusions: A well-designed A&F intervention is necessary but not sufficient to inform practice changes. A&F initiatives must include co-interventions to address recipient characteristics (i.e., beliefs and capabilities) and context to optimize impact. Effective strategies to overcome the intention-to-action gap may include modelling how to use A&F to inform practice change, providing opportunities for social interaction relating to the A&F, and circulating examples of effective actions taken in response to A&F. More broadly, undergraduate medical education and post-graduate training must ensure physicians are equipped with QI capabilities, with an emphasis on the skills required to interpret and act on practice-level data.

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