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基于认知的医学选拔评估分数能否预测医生的临床能力?一项系统评价方案。

Do cognitively based medical selection assessment scores predict doctors' clinical competency? A protocol for a systematic review.

作者信息

Khan Taha, Mattick Karen, Tiffin Paul Alexander

机构信息

Hull York Medical School Centre for Health and Population Sciences, York, UK

Medical Education, University of Exeter Medical School, Exeter, UK.

出版信息

BMJ Open. 2025 Aug 25;15(8):e104028. doi: 10.1136/bmjopen-2025-104028.

Abstract

INTRODUCTION

Internationally, medical schools increasingly use cognitively based selection assessments to select applicants. These tests evaluate cognitive performance and show some predictive validity for academic attainment during medical school, often incremental to that provided by secondary school grades. However, their use imposes burdens on applicants and institutions. They may also disadvantage certain under-represented groups. Therefore, to justify their adoption, these assessments should ideally predict doctors' future clinical competency, which can be evaluated by clinical outcomes or performance in post-qualification practical clinical examinations. Hence, this systematic review aims to collate and appraise evidence linking scores from these assessments to doctors' clinical competency.

METHODS AND ANALYSIS

A comprehensive search strategy, co-developed with stakeholders, will search eight databases and grey literature from January 2000 onwards. Study selection, data extraction, study quality and the risk of bias assessment will be performed independently by two authors. A narrative synthesis will be used to appraise and integrate the findings from the included studies.

ETHICS AND DISSEMINATION

Ethical approval is not required. The results will be published in a peer-reviewed journal and presented at relevant academic conferences.

PROSPERO REGISTRATION NUMBER

The protocol was registered prospectively on PROSPERO (CRD42024539112).

摘要

引言

在国际上,医学院校越来越多地使用基于认知的选拔评估来挑选申请者。这些测试评估认知表现,并且对医学院期间的学业成绩显示出一定的预测效度,其预测效度往往超出中学成绩所提供的信息。然而,这些测试的使用给申请者和院校带来了负担。它们也可能使某些代表性不足的群体处于不利地位。因此,为了证明采用这些评估的合理性,理想情况下这些评估应该能够预测医生未来的临床能力,而临床能力可以通过临床结果或资格后实践临床考试中的表现来评估。因此,本系统评价旨在整理和评估将这些评估的分数与医生临床能力联系起来的证据。

方法与分析

与利益相关者共同制定的全面检索策略将检索自2000年1月起的八个数据库和灰色文献。研究选择、数据提取、研究质量和偏倚风险评估将由两位作者独立进行。将采用叙述性综合分析来评估和整合纳入研究的结果。

伦理与传播

无需伦理批准。研究结果将发表在同行评审期刊上,并在相关学术会议上展示。

PROSPERO注册号:该方案已在PROSPERO上预先注册(CRD42024539112)。

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