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努力的影子经济:及格/不及格评分对医学生临床教育和患者护理技能的意外影响。

The Shadow Economy of Effort: Unintended Consequences of Pass/Fail Grading on Medical Students' Clinical Education and Patient Care Skills.

作者信息

Warm Eric, Hirsh David A, Kinnear Benjamin, Besche Henrike C

出版信息

Acad Med. 2025 Apr 1;100(4):419-424. doi: 10.1097/ACM.0000000000005973. Epub 2024 Jan 16.

Abstract

The shift to pass/fail grading in undergraduate medical education was designed to reduce medical students' stress. However, this change has given rise to a "shadow economy of effort," as students move away from traditional didactic and clinical learning to engage in increasing numbers of research, volunteer, and work experiences to enhance their residency applications. These extracurricular efforts to secure a residency position are subphenomena of the hidden curriculum. Medical schools do not officially require all the activities students need to be most competitive for residency selection; therefore, students, as rational actors, participate in the activities they think will most help them succeed.Here, the authors frame residency application and selection as a complex adaptive system (CAS), which self-organizes without centralized control or hierarchical intent. Individuals in a CAS operate in environments marked by volatility, randomness, and uncertainty-all of which are abundant in the residency selection process. Outcomes in such systems, like the development of a shadow economy, are novel, emergent, and cannot always be anticipated. To address these challenges, the authors suggest the need for deep understanding of the system's elements, interrelationships, and dynamics, including feedback loops and emergent properties. Optimizing the results of a CAS requires incentivizing outcomes over activities, ensuring open information flow, and engaging in continuous monitoring and evaluation.The current pass/fail era and resultant shadow economy of effort risk creating a triple harm by devaluing clinical excellence, burning out medical students, and potentially producing superficial or, worse, inauthentic academic and community work. Medical educators must optimize residency application and selection for cooperative outcomes and design incentives to ensure the outputs of medical education align student, institutional, patient, and societal goals. Without a set of predictive "answers," the authors suggest a process of determining actions to advance this ultimate aim and reduce harm.

摘要

本科医学教育向通过/不及格评分制的转变旨在减轻医学生的压力。然而,这一变化引发了一种“努力的影子经济”,因为学生们不再采用传统的教学和临床学习方式,而是越来越多地参与研究、志愿活动和工作经历,以提升他们的住院医师申请竞争力。这些为获得住院医师职位而付出的课外努力是隐性课程的附属现象。医学院校并未正式要求学生参与所有那些对住院医师选拔最具竞争力的活动;因此,作为理性行为者,学生们会参与他们认为最有助于成功的活动。在此,作者们将住院医师申请和选拔视为一个复杂适应系统(CAS),该系统在没有集中控制或层级意图的情况下自我组织。CAS中的个体在充满波动性、随机性和不确定性的环境中运作——而这些在住院医师选拔过程中都大量存在。此类系统中的结果,比如影子经济的发展,是新颖的、突发的,且往往无法预见。为应对这些挑战,作者们建议有必要深入理解系统的要素、相互关系和动态,包括反馈回路和突现特性。优化CAS的结果需要激励结果而非活动,确保信息的开放流动,并进行持续的监测和评估。当前的通过/不及格时代以及由此产生的努力的影子经济有可能造成三重危害,即贬低临床卓越性、使医学生倦怠,并可能产生表面化甚至更糟糕的虚假学术和社区工作。医学教育工作者必须优化住院医师申请和选拔以实现合作成果,并设计激励措施,以确保医学教育的产出符合学生、机构、患者和社会的目标。由于没有一套可预测的“答案”,作者们建议通过一个过程来确定行动,以推进这一最终目标并减少危害。

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