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A laboratory study on the reliability estimations of the mini-CEX

机译:迷你CEX可靠性估算的实验室研究

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Reliability estimations of workplace-based assessments with the mini-CEX are typically based on real-life data. Estimations are based on the assumption of local independence: the object of the measurement should not be influenced by the measurement itself and samples should be completely independent. This is difficult to achieve. Furthermore, the variance caused by the case/patient or by assessor is completely confounded. We have no idea how much each of these factors contribute to the noise in the measurement. The aim of this study was to use a controlled setup that overcomes these difficulties and to estimate the reproducibility of the mini-CEX. Three encounters were videotaped from 21 residents. The patients were the same for all residents. Each encounter was assessed by 3 assessors who assessed all encounters for all residents. This delivered a fully crossed (all random) two-facet generalizability design. A quarter of the total variance was associated with universe score variance (28%). The largest source of variance was the general error term (34%) followed by the main effect of assessors (18%). Generalizability coefficients indicated that an approximate sample of 9 encounters was needed assuming a single different assessor per encounter and assuming different cases per encounter (the usual situation in real practice), 4 encounters when 2 raters were used and 3 encounters when 3 raters are used. Unexplained general error and the leniency/stringency of assessors are the major causes for unreliability in mini-CEX. To optimize reliability rater training might have an effect. ? 2011 The Author(s).
机译:使用MINI-CEX的基于工作场所评估的可靠性估计通常基于现实生活数据。估计基于局部独立的假设:测量的对象不应受测量本身的影响,并且样本应该是完全独立的。这很难实现。此外,由案例/患者或评估仪引起的差异完全混淆。我们不知道这些因素有多少次导致测量中的噪声。本研究的目的是使用受控设置克服了这些困难,并估计了迷你CEX的再现性。三个遭遇从21名居民录像。所有居民患者都是一样的。每次遭遇被3评估员评估,他们评估了所有居民的所有遭遇。这提供了完全交叉的(所有随机)双面概括性设计。总方差的四分之一与宇宙得分方差有关(28%)。最大的差异来源是一般误差项(34%),然后是评估员的主要效果(18%)。普遍性系数表明,假设每次遇到的单个不同评估仪并假设每次相遇的不同病例(实际实践中的通常情况)时,需要近似样本,并且当使用2个评估者时,4个遇到3种,当使用3个评估者时,3次遇到。评估员的不明显的一般误差和宽大/严格性是迷你CEX中不可靠性的主要原因。优化可靠性税率训练可能产生效果。还2011年作者。

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