PDF(Pubmed)
Abstract：
UNASSIGNED: Health care professionals must learn continuously as a core part of their work. As the rate of knowledge production in biomedicine increases, better support for health care professionals\' continuous learning is needed. In health systems, feedback is pervasive and is widely considered to be essential for learning that drives improvement. Clinical quality dashboards are one widely deployed approach to delivering feedback, but engagement with these systems is commonly low, reflecting a limited understanding of how to improve the effectiveness of feedback about health care. When coaches and facilitators deliver feedback for improving performance, they aim to be responsive to the recipient\'s motivations, information needs, and preferences. However, such functionality is largely missing from dashboards and feedback reports. Precision feedback is the delivery of high-value, motivating performance information that is prioritized based on its motivational potential for a specific recipient, including their needs and preferences. Anesthesia care offers a clinical domain with high-quality performance data and an abundance of evidence-based quality metrics.
UNASSIGNED: The objective of this study is to explore anesthesia provider preferences for precision feedback.
UNASSIGNED: We developed a test set of precision feedback messages with balanced characteristics across 4 performance scenarios. We created an experimental design to expose participants to contrasting message versions. We recruited anesthesia providers and elicited their preferences through analysis of the content of preferred messages. Participants additionally rated their perceived benefit of preferred messages to clinical practice on a 5-point Likert scale.
UNASSIGNED: We elicited preferences and feedback message benefit ratings from 35 participants. Preferences were diverse across participants but largely consistent within participants. Participants\' preferences were consistent for message temporality (α=.85) and display format (α=.80). Ratings of participants\' perceived benefit to clinical practice of preferred messages were high (mean rating 4.27, SD 0.77).
UNASSIGNED: Health care professionals exhibited diverse yet internally consistent preferences for precision feedback across a set of performance scenarios, while also giving messages high ratings of perceived benefit. A \"one-size-fits-most approach\" to performance feedback delivery would not appear to satisfy these preferences. Precision feedback systems may hold potential to improve support for health care professionals\' continuous learning by accommodating feedback preferences.
UNASSIGNED: The objective of this study is to explore anesthesia provider preferences for precision feedback.
UNASSIGNED: We developed a test set of precision feedback messages with balanced characteristics across 4 performance scenarios. We created an experimental design to expose participants to contrasting message versions. We recruited anesthesia providers and elicited their preferences through analysis of the content of preferred messages. Participants additionally rated their perceived benefit of preferred messages to clinical practice on a 5-point Likert scale.
UNASSIGNED: We elicited preferences and feedback message benefit ratings from 35 participants. Preferences were diverse across participants but largely consistent within participants. Participants\' preferences were consistent for message temporality (α=.85) and display format (α=.80). Ratings of participants\' perceived benefit to clinical practice of preferred messages were high (mean rating 4.27, SD 0.77).
UNASSIGNED: Health care professionals exhibited diverse yet internally consistent preferences for precision feedback across a set of performance scenarios, while also giving messages high ratings of perceived benefit. A \"one-size-fits-most approach\" to performance feedback delivery would not appear to satisfy these preferences. Precision feedback systems may hold potential to improve support for health care professionals\' continuous learning by accommodating feedback preferences.
摘要：
■医疗保健专业人员必须不断学习，将其作为工作的核心部分。随着生物医学知识生产速度的提高，需要更好地支持医疗保健专业人员的持续学习。在卫生系统中，反馈无处不在，被广泛认为是推动改进的学习必不可少的。临床质量仪表板是一种广泛部署的提供反馈的方法，但是与这些系统的参与度通常很低，反映了对如何提高医疗保健反馈的有效性的有限理解。当教练和主持人提供反馈以提高绩效时，他们的目标是响应接受者的动机，信息需求,和偏好。然而,仪表板和反馈报告中很大程度上缺少此类功能。精准反馈是高价值的交付，激励绩效信息，这些信息是根据特定接受者的动机潜力而优先考虑的，包括他们的需求和偏好。麻醉护理为临床领域提供了高质量的性能数据和丰富的基于证据的质量指标。
■本研究的目的是探索麻醉提供者对精确反馈的偏好。
■我们开发了一组精确反馈消息的测试集，这些消息在4种性能场景中具有平衡的特性。我们创建了一个实验设计，让参与者接触到对比不同的消息版本。我们招募了麻醉提供者，并通过分析首选信息的内容得出他们的偏好。参与者还以5点Likert量表对临床实践中首选信息的感知益处进行了评分。
■我们从35名参与者那里获得了偏好和反馈信息收益评级。参与者的偏好各不相同，但在参与者内部基本一致。参与者的偏好在消息时间性(α=.85)和显示格式(α=.80)方面是一致的。参与者对首选信息的临床实践感知益处的评分较高(平均评分4.27,SD0.77)。
医疗保健专业人员在一系列性能场景中表现出不同但内部一致的精确反馈偏好，同时也给信息提供了较高的感知收益评级。性能反馈交付的“一刀切的方法”似乎无法满足这些首选项。精确反馈系统可能会通过适应反馈偏好来改善对医疗保健专业人员的持续学习支持。
■本研究的目的是探索麻醉提供者对精确反馈的偏好。
■我们开发了一组精确反馈消息的测试集，这些消息在4种性能场景中具有平衡的特性。我们创建了一个实验设计，让参与者接触到对比不同的消息版本。我们招募了麻醉提供者，并通过分析首选信息的内容得出他们的偏好。参与者还以5点Likert量表对临床实践中首选信息的感知益处进行了评分。
■我们从35名参与者那里获得了偏好和反馈信息收益评级。参与者的偏好各不相同，但在参与者内部基本一致。参与者的偏好在消息时间性(α=.85)和显示格式(α=.80)方面是一致的。参与者对首选信息的临床实践感知益处的评分较高(平均评分4.27,SD0.77)。
医疗保健专业人员在一系列性能场景中表现出不同但内部一致的精确反馈偏好，同时也给信息提供了较高的感知收益评级。性能反馈交付的“一刀切的方法”似乎无法满足这些首选项。精确反馈系统可能会通过适应反馈偏好来改善对医疗保健专业人员的持续学习支持。
