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用情境判断测试预测外科住院医生的表现

Aimee K Gardner, Paula Costa

    Academic medicine : journal of the Association of American Medical Colleges
    |February 27, 2024
    PubMed
    概括

    情境判断测试 (SJT) 有效地预测一般外科住院医生的表现. 较高的SJT分数与更好的患者护理,医学知识和专业精神相关,支持在申请人选择中使用它们.

    科学领域:

    • 医学教育 医学教育
    • 进行外科手术培训.
    • 申请人评估申请人的评估.

    背景情况:

    • 情境判断测试 (SJT) 越来越多地被认为具有评估医疗住院申请人的潜力.
    • 传统的选择方法可能无法完全捕捉医生成功的关键非认知技能.
    • 需要验证SJT对居民绩效的预测能力.

    研究的目的:

    • 调查SJT在一般外科住院的早期职业生涯里程碑性能的预测有效性.
    • 确定SJT的表现是否与研究生医学教育认证委员会 (ACGME) 的关键里程碑相关.

    主要方法:

    • 来自七个计划的全科医生在三个应用周期中完成了SJT.
    • 收集了居民的ACGME里程碑数据,按SJT绩效组分层 (绿色,黄色,红色,未知).
    • 统计分析,包括ANOVA,用于在SJT组中比较里程碑表现.

    主要成果:

    • 在SJT绩效组之间观察到患者护理,医学知识,基于实践的学习,专业性和沟通技能的显著差异.
    • "绿色"SJT组的居民在大多数里程碑类别中总体上表现出更好的表现.
    • 在"黄色"和"红色"组之间出现了不同的表现模式,在特定技能领域出现了一些意想不到的发现.

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    结论:

    • 在评估与住院培训相关的关键非认知属性方面,SJT显示出前景.
    • 调查结果支持将SJT作为居住申请人的整体审查过程的一部分.
    • 通过识别具有强大成功潜力的候选人,SJT可以为更公平,更有效的居民选择做出贡献.