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是否到了基于偏好信息进行基金分配的时候?

Time for preference-informed foundation allocation?

机构信息

Imperial College London School of Medicine, London, UK

Imperial College London School of Medicine, London, UK.

出版信息

Clin Med (Lond). 2022 Nov;22(6):590-593. doi: 10.7861/clinmed.2022-0198.

Abstract

Successful completion of year 1 of the UK Foundation Programme is a General Medical Council requirement that newly qualified doctors must achieve in order to gain full registration for licence to practise in the UK. We present compelling evidence that both sections of the UK Foundation Programme allocation process, consisting of the Educational Performance Measure and Situational Judgement Test scores, are not fit for purpose. The ranking process drives competitive behaviours among medical students and undermines NHS teamworking values. Furthermore, data from 2013-2020 show that UK minority ethnic students consistently receive significantly lower SJT scores than White students. The current process in the UK allocates lower ranked students, who often need more academic and social support, to undersubscribed regions. This can lead to vacancies in less popular regions, ultimately worsening health inequality. A preference-informed allocation process will improve trainee access to support and help retain trainees in underserved regions. We aim to summarise the flaws of the current system and report a potential radical solution.

摘要

成功完成英国基础课程第一年是英国医学总会要求新获得资格的医生必须达到的要求,以获得在英国行医的完全注册许可。我们提供了令人信服的证据,证明英国基础课程分配过程的两个部分,即教育绩效衡量和情境判断测试分数,都不适用。排名过程助长了医学生之间的竞争行为,破坏了国民保健制度的团队合作价值观。此外,2013-2020 年的数据显示,英国少数民族学生的 SJT 分数始终明显低于白人学生。英国目前的分配过程将排名较低的学生(他们通常需要更多的学术和社会支持)分配到报名人数不足的地区。这可能导致较不受欢迎地区出现空缺,最终加剧健康不平等。基于偏好的分配过程将改善学员获得支持的机会,并有助于在服务不足的地区留住学员。我们旨在总结当前系统的缺陷,并报告一个潜在的激进解决方案。

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