Acad Med. 2024 Feb 1;99(2):153-158. doi: 10.1097/ACM.0000000000005490. Epub 2023 Oct 11.
Efforts to optimize continuing professional development (CPD) are ongoing and include advocacy for the use of clinician performance data. Several educational and quality-based frameworks support the use of performance data to achieve intended improvement outcomes. Although intuitively appealing, the role of performance data for CPD has been uncertain and its utility mainly assumed. In this Scholarly Perspective, the authors briefly review and trace arguments that have led to the conclusion that performance data are essential for CPD. In addition, they summarize and synthesize a recent and ongoing research program exploring the relationship physicians have with performance data. They draw on Collins, Onwuegbuzie, and Johnson's legitimacy model and Dixon-Woods' integrative approach to generate inferences and ways of moving forward. This interpretive approach encourages questioning or raising of assumptions about related concepts and draws on the perspectives (i.e., interpretive work) of the research team to identify the most salient points to guide future work. The authors identify 6 stimuli for future programs of research intended to support broader and better integration of performance data for CPD. Their aims are to contribute to the discourse on data advocacy for CPD by linking conceptual, methodologic, and analytic processes and to stimulate discussion on how to proceed on the issue of performance data for CPD purposes. They hope to move the field from a discussion on the utility of data for CPD to deeper integration of relevant conceptual frameworks.
优化继续职业发展(CPD)的努力正在进行中,包括倡导使用临床医生绩效数据。几个基于教育和质量的框架支持使用绩效数据来实现预期的改进结果。尽管直观上很有吸引力,但绩效数据在 CPD 中的作用一直不确定,其效用主要是假设的。在这篇学术观点中,作者简要回顾并追溯了导致绩效数据对 CPD 至关重要的结论的论点。此外,他们总结并综合了一个最近和正在进行的研究计划,该计划探讨了医生与绩效数据的关系。他们借鉴了 Collins、Onwuegbuzie 和 Johnson 的合法性模型以及 Dixon-Woods 的综合方法来进行推断和提出前进的方法。这种解释性方法鼓励对相关概念提出质疑或假设,并借鉴研究团队的观点(即解释性工作)来确定最突出的要点,以指导未来的工作。作者确定了 6 个未来研究计划的刺激因素,旨在支持更广泛和更好地整合绩效数据用于 CPD。他们的目的是通过将概念、方法和分析过程联系起来,为 CPD 的数据倡导提供讨论,并就如何处理 CPD 绩效数据问题进行讨论。他们希望将该领域从讨论数据对 CPD 的效用转移到更深入地整合相关概念框架。