Women's College Hospital, Toronto, ON, Canada.
Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.
JMIR Hum Factors. 2023 Nov 9;10:e47718. doi: 10.2196/47718.
Audit and feedback (A&F), the summary and provision of clinical performance data, is a common quality improvement strategy. Successful design and implementation of A&F-or any quality improvement strategy-should incorporate evidence-informed best practices as well as context-specific end user input.
We used A&F theory and user-centered design to inform the development of a web-based primary care A&F dashboard. We describe the design process and how it influenced the design of the dashboard.
Our design process included 3 phases: prototype development based on A&F theory and input from clinical improvement leaders; workshop with family physician quality improvement leaders to develop personas (ie, fictional users that represent an archetype character representative of our key users) and application of those personas to design decisions; and user-centered interviews with family physicians to learn about the physician's reactions to the revised dashboard.
The team applied A&F best practices to the dashboard prototype. Personas were used to identify target groups with challenges and behaviors as a tool for informed design decision-making. Our workshop produced 3 user personas, Dr Skeptic, Frazzled Physician, and Eager Implementer, representing common users based on the team's experience of A&F. Interviews were conducted to further validate findings from the persona workshop and found that (1) physicians were interested in how they compare with peers; however, if performance was above average, they were not motivated to improve even if gaps compared to other standards in their care remained; (2) burnout levels were high as physicians are trying to catch up on missed care during the pandemic and are therefore less motivated to act on the data; and (3) additional desired features included integration within the electronic medical record, and more up-to-date and accurate data.
We found that carefully incorporating data from user interviews helped operationalize generic best practices for A&F to achieve an acceptable dashboard that could meet the needs and goals of physicians. We demonstrate such a design process in this paper. A&F dashboards should address physicians' data skepticism, present data in a way that spurs action, and support physicians to have the time and capacity to engage in quality improvement work; the steps we followed may help those responsible for quality improvement strategy implementation achieve these aims.
审核和反馈(A&F),即总结和提供临床绩效数据,是一种常见的质量改进策略。成功设计和实施 A&F 或任何质量改进策略都应结合循证最佳实践以及特定于上下文的最终用户输入。
我们使用 A&F 理论和以用户为中心的设计来为基于网络的初级保健 A&F 仪表板的开发提供信息。我们描述了设计过程以及它如何影响仪表板的设计。
我们的设计过程包括 3 个阶段:基于 A&F 理论和临床改进领导者的输入开发原型;与家庭医生质量改进领导者一起进行研讨会,以开发角色(即代表我们关键用户的典型用户的虚构用户)并将这些角色应用于设计决策;以及对家庭医生进行以用户为中心的访谈,以了解医生对经修订的仪表板的反应。
团队将 A&F 最佳实践应用于仪表板原型。角色被用来确定具有挑战和行为的目标群体,作为知情设计决策的工具。我们的研讨会产生了 3 个用户角色,分别是 Dr Skeptic、Frazzled Physician 和 Eager Implementer,它们代表了团队在 A&F 方面的经验基础上的常见用户。进行访谈是为了进一步验证角色研讨会的发现,并发现:(1)医生对与同行相比的情况感兴趣;但是,如果表现高于平均水平,即使与他们护理标准中的其他标准相比仍存在差距,他们也没有动力去改进;(2)由于医生在努力弥补大流行期间错过的护理,因此倦怠水平很高,因此对数据不太有动力采取行动;(3)期望的附加功能包括与电子病历集成,以及更及时和准确的数据。
我们发现,仔细纳入用户访谈数据有助于将 A&F 的通用最佳实践付诸实践,以实现一个可接受的仪表板,以满足医生的需求和目标。我们在本文中展示了这样的设计过程。A&F 仪表板应解决医生对数据的怀疑态度,以激发行动的方式呈现数据,并支持医生有时间和能力参与质量改进工作;我们遵循的步骤可能有助于负责质量改进策略实施的人员实现这些目标。