重症监护审计和反馈干预在多大程度上符合最佳实践?REFLECT-52评价工具的开发与应用。

Madison Foster, Justin Presseau, Eyal Podolsky, Lauralyn McIntyre, Maria Papoulias, Jamie C Brehaut
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引用次数: 0

摘要

背景:医疗审计和反馈(A&F)干预措施已被证明是改变医疗保健专业人员行为的有效手段,但需要进行优化工作,因为有证据表明,A&F干预措施并没有随着时间的推移而改善。最近发布的指南建议了一套最初的最佳实践,这些实践可能有助于提高干预的有效性,其重点是“期望行动的性质”、“可用于反馈的数据的性质”、“反馈显示”和“提供反馈干预”。我们的目标是开发一种可用于评估A&F干预措施是否符合这些最佳实践建议的通用评估工具,并通过应用于危重病A&F干预措施样本对该工具进行了初步测试。方法:我们采用基于共识的方法,从已发表的指南中开发了一个评估工具,随后应用该工具对A&F干预措施进行了二次分析。首先,Brehaut等人发表的15条改进反馈干预的建议被解构为可征税项目。项目是通过研究人员之间反复的共识会议开发的。然后,这些项目在12项A&F研究中进行了试点(在独立地将该工具应用于4项A&F干预研究后,每次都有两名评论者会面以达成共识)。在每次共识会议之后,修改项目以提高清晰度和特异性,并帮助增加编码人员之间的可靠性。然后,我们评估了17个重症监护A&F干预措施的最佳实践符合性,这些干预措施来自对重症监护环境中提供者订购实验室检查和输血的A&F干预措施的系统回顾。每个标准项的数据由一名编码器提取,并由另一名编码器确认;然后将结果汇总并以图形或表格形式呈现,并进行叙述。结果:共编制了52个标准项目(38个可评性项目和14个描述性项目)。8项研究针对实验室测试订购行为,10项研究针对输血订购行为。关注“期望行动的性质”的项目是最普遍的——反馈通常是在外部优先级(13/17)的背景下提出的,显示或描述了表现上的差异(14/17),在所有情况下,接受者对行为的改变负责是合理的(17/17)。关注“可用于反馈的数据的性质”的项目很少被纳入——只有一些干预提供了个人(5/17)或患者水平的数据(5/17),很少包括理想比较(2/17),或反馈特异性的理由(4/17),比较国的选择(0/9)或报告间隔(3/13)。关注“反馈显示的性质”的项目被报道得很差——只有不到一半的干预报告以一种以上的方式提供反馈(8/17),干预很少包括反馈的试点测试(1/17不清楚)或视觉显示和汇总信息的展示(1/13)。专注于“提供反馈干预”的项目报告也很差——反馈很少报告使用障碍/促成因素评估(0/17),涉及目标成员参与反馈的开发(0/17),或涉及在社会背景下接受和讨论的明确设计(3/17);然而,大多数干预都清楚地表明是谁提供了反馈(11/17),涉及了一个引导者(8/12),或者在收到反馈之前参与了对目标行为的自我评估(12/17)。结论:许多有理论依据的最佳实践项目并没有始终应用于重症监护,可以为改进干预措施提供明确的方法。详细的干预描述和反馈模板的标准化报告也可能有助于进一步推进该领域的研究。这个包含52个项目的工具可以作为可靠评估在其他医疗机构中试验的现有A&F干预措施是否符合最佳实践指南的基础,并可用于为未来的A&F干预措施开发提供信息。试验注册:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

How well do critical care audit and feedback interventions adhere to best practice? Development and application of the REFLECT-52 evaluation tool.

How well do critical care audit and feedback interventions adhere to best practice? Development and application of the REFLECT-52 evaluation tool.

How well do critical care audit and feedback interventions adhere to best practice? Development and application of the REFLECT-52 evaluation tool.

How well do critical care audit and feedback interventions adhere to best practice? Development and application of the REFLECT-52 evaluation tool.

Background: Healthcare Audit and Feedback (A&F) interventions have been shown to be an effective means of changing healthcare professional behavior, but work is required to optimize them, as evidence suggests that A&F interventions are not improving over time. Recent published guidance has suggested an initial set of best practices that may help to increase intervention effectiveness, which focus on the "Nature of the desired action," "Nature of the data available for feedback," "Feedback display," and "Delivering the feedback intervention." We aimed to develop a generalizable evaluation tool that can be used to assess whether A&F interventions conform to these suggestions for best practice and conducted initial testing of the tool through application to a sample of critical care A&F interventions.

Methods: We used a consensus-based approach to develop an evaluation tool from published guidance and subsequently applied the tool to conduct a secondary analysis of A&F interventions. To start, the 15 suggestions for improved feedback interventions published by Brehaut et al. were deconstructed into rateable items. Items were developed through iterative consensus meetings among researchers. These items were then piloted on 12 A&F studies (two reviewers met for consensus each time after independently applying the tool to four A&F intervention studies). After each consensus meeting, items were modified to improve clarity and specificity, and to help increase the reliability between coders. We then assessed the conformity to best practices of 17 critical care A&F interventions, sourced from a systematic review of A&F interventions on provider ordering of laboratory tests and transfusions in the critical care setting. Data for each criteria item was extracted by one coder and confirmed by a second; results were then aggregated and presented graphically or in a table and described narratively.

Results: In total, 52 criteria items were developed (38 ratable items and 14 descriptive items). Eight studies targeted lab test ordering behaviors, and 10 studies targeted blood transfusion ordering. Items focused on specifying the "Nature of the Desired Action" were adhered to most commonly-feedback was often presented in the context of an external priority (13/17), showed or described a discrepancy in performance (14/17), and in all cases it was reasonable for the recipients to be responsible for the change in behavior (17/17). Items focused on the "Nature of the Data Available for Feedback" were adhered to less often-only some interventions provided individual (5/17) or patient-level data (5/17), and few included aspirational comparators (2/17), or justifications for specificity of feedback (4/17), choice of comparator (0/9) or the interval between reports (3/13). Items focused on the "Nature of the Feedback Display" were reported poorly-just under half of interventions reported providing feedback in more than one way (8/17) and interventions rarely included pilot-testing of the feedback (1/17 unclear) or presentation of a visual display and summary message in close proximity of each other (1/13). Items focused on "Delivering the Feedback Intervention" were also poorly reported-feedback rarely reported use of barrier/enabler assessments (0/17), involved target members in the development of the feedback (0/17), or involved explicit design to be received and discussed in a social context (3/17); however, most interventions clearly indicated who was providing the feedback (11/17), involved a facilitator (8/12) or involved engaging in self-assessment around the target behavior prior to receipt of feedback (12/17).

Conclusions: Many of the theory-informed best practice items were not consistently applied in critical care and can suggest clear ways to improve interventions. Standardized reporting of detailed intervention descriptions and feedback templates may also help to further advance research in this field. The 52-item tool can serve as a basis for reliably assessing concordance with best practice guidance in existing A&F interventions trialed in other healthcare settings, and could be used to inform future A&F intervention development.

Trial registration: Not applicable.

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