A multivariate analysis examining the relationship between sociodemographic differences and UK graduates' performance on postgraduate medical exams.

IF 3.3 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Ricky Ellis, Andy Knapton, Jane Cannon, Amanda J Lee, Jennifer Cleland
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引用次数: 0

Abstract

Background: Studies examining group-level performance (differential attainment, or DA) in UK postgraduate medical examinations have, to date, focused on a limited number of exams and sociodemographic factors and used relatively simple analyses. This limits understanding of the intersectionality of different characteristics in relation to performance on these critical assessments, required for progression through training and to consultant status. This study aimed to address these gaps by identifying independent predictors of success or failure for UK medical school graduates (UKGs) across UK postgraduate medical examinations.

Methods: This retrospective cohort study used multivariate logistic regression to identify independent predictors of success or failure at each examination, accounting for prior academic attainment (at point of entry to medical school). Anonymised pass/fail at the first examination attempt data were extracted from the General Medical Council (GMC) database and analysed for all UKGs examination candidates between 2014 and 2020.

Results: Between 2014-2020, 132,370 first examination attempts were made by UKGs, and 99,840 (75.4%) candidates passed at the first attempt. Multivariate analyses revealed that gender, age, ethnicity, religion, sexual orientation, disability, working less than full time and socioeconomic and educational background were all statistically significant independent predictors of success or failure in written and clinical examinations. The strongest independent predictors of failing written and/or clinical examinations were being from a minority ethnic background and having a registered disability.

Conclusions: This large-scale study found that, even after accounting for prior academic attainment, there were significant differences in candidate examination pass rates according to key sociodemographic differences. The GMC, Medical Royal Colleges, and postgraduate training organisations now have a responsibility to use these data to guide future research and interventions that aim to reduce these attainment gaps.

检验社会人口统计学差异与英国毕业生在研究生医学考试中的表现之间关系的多变量分析。
背景:迄今为止,研究英国研究生医学考试中群体水平表现(差异成就,或DA)的研究主要集中在有限数量的考试和社会人口因素上,并使用了相对简单的分析。这限制了对通过培训取得进步和成为顾问所必需的这些关键评价的不同特点的相互关系的理解。本研究旨在通过确定英国医学院毕业生(UKGs)在英国研究生医学考试中成功或失败的独立预测因素来解决这些差距。方法:本回顾性队列研究采用多变量逻辑回归来确定每次考试成功或失败的独立预测因素,并考虑先前的学术成就(进入医学院时)。从英国医学委员会(GMC)数据库中提取首次考试的匿名及格/不及格数据,并对2014年至2020年期间所有英国医学委员会考试考生进行分析。结果:2014-2020年,UKGs参加了132370次初试,99840人(75.4%)通过了初试。多变量分析显示,性别、年龄、种族、宗教、性取向、残疾、非全职工作以及社会经济和教育背景都是书面和临床考试成功或失败的统计显著独立预测因素。不通过书面和/或临床检查的最强独立预测因素是来自少数民族背景和登记残疾。结论:这项大规模的研究发现,即使在考虑了先前的学术成就之后,根据关键的社会人口统计学差异,候选人的考试通过率也存在显著差异。GMC、皇家医学院和研究生培训机构现在有责任使用这些数据来指导未来的研究和干预措施,旨在缩小这些成就差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medical Teacher
Medical Teacher 医学-卫生保健
CiteScore
7.80
自引率
8.50%
发文量
396
审稿时长
3-6 weeks
期刊介绍: Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.
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