Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
Implement Sci. 2019 Apr 24;14(1):39. doi: 10.1186/s13012-019-0887-1.
Audit and feedback (A&F) is a common quality improvement strategy with highly variable effects on patient care. It is unclear how A&F effectiveness can be maximised. Since the core mechanism of action of A&F depends on drawing attention to a discrepancy between actual and desired performance, we aimed to understand current and best practices in the choice of performance comparator.
We described current choices for performance comparators by conducting a secondary review of randomised trials of A&F interventions and identifying the associated mechanisms that might have implications for effective A&F by reviewing theories and empirical studies from a recent qualitative evidence synthesis.
We found across 146 trials that feedback recipients' performance was most frequently compared against the performance of others (benchmarks; 60.3%). Other comparators included recipients' own performance over time (trends; 9.6%) and target standards (explicit targets; 11.0%), and 13% of trials used a combination of these options. In studies featuring benchmarks, 42% compared against mean performance. Eight (5.5%) trials provided a rationale for using a specific comparator. We distilled mechanisms of each comparator from 12 behavioural theories, 5 randomised trials, and 42 qualitative A&F studies.
Clinical performance comparators in published literature were poorly informed by theory and did not explicitly account for mechanisms reported in qualitative studies. Based on our review, we argue that there is considerable opportunity to improve the design of performance comparators by (1) providing tailored comparisons rather than benchmarking everyone against the mean, (2) limiting the amount of comparators being displayed while providing more comparative information upon request to balance the feedback's credibility and actionability, (3) providing performance trends but not trends alone, and (4) encouraging feedback recipients to set personal, explicit targets guided by relevant information.
审核和反馈(A&F)是一种常见的质量改进策略,对患者护理的影响差异很大。目前尚不清楚如何最大限度地提高 A&F 的效果。由于 A&F 的核心作用机制依赖于引起对实际表现与期望表现之间差异的关注,我们旨在了解当前选择绩效比较器的最佳实践。
我们通过对 A&F 干预措施的随机试验进行二次审查,描述了当前对绩效比较器的选择,并通过审查最近定性证据综合的理论和实证研究,了解可能对有效的 A&F 产生影响的相关机制。
我们在 146 项试验中发现,反馈接受者的表现最常与他人(基准;60.3%)进行比较。其他比较器包括接收者自己随时间的表现(趋势;9.6%)和目标标准(明确目标;11.0%),13%的试验使用了这些选项的组合。在以基准为特征的研究中,42%的研究是针对平均表现进行比较的。八项(5.5%)试验提供了使用特定比较器的理由。我们从 12 种行为理论、5 项随机试验和 42 项定性 A&F 研究中提取了每个比较器的机制。
发表文献中的临床绩效比较器在理论上没有得到很好的指导,也没有明确考虑到定性研究中报告的机制。根据我们的审查,我们认为有很大的机会通过以下方式改进绩效比较器的设计:(1)提供针对性的比较,而不是对每个人进行平均基准测试;(2)在提供更多比较信息的同时限制显示的比较器数量,以平衡反馈的可信度和可操作性;(3)提供绩效趋势,但不仅仅是趋势;(4)鼓励反馈接受者在相关信息的指导下设定个人明确的目标。