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首页> 外文期刊>The Clinical neuropsychologist >Performance on the Test of Memory Malingering is predicted by the number of errors on its first 10 items on an inpatient epilepsy monitoring unit
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Performance on the Test of Memory Malingering is predicted by the number of errors on its first 10 items on an inpatient epilepsy monitoring unit

机译:在Inpatient癫痫监测单元上的前10项的错误数量预测了记忆恶性测试的性能

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Objective: Performance validity testing is an increasingly vital component of neuropsychological evaluation, though administration of stand-alone performance validity tests (PVTs) can be time-consuming. As the Test of Memory Malingering (TOMM) is among the most commonly used and researched PVTs, much work has focused on creating abbreviated versions while preserving diagnostic accuracy. A recent addition to this effort, errors on the first 10 items of Trial 1 (TOMMe10), was analyzed for its utility in predicting TOMM performance. Method: Subjects were 180 veterans seen on a long-term epilepsy monitoring unit. TOMM learning trials, Word Memory Test (WMT), and WAIS-IV Digit Span (for Reliable Digit Span; RDS) were administered as part of a larger battery. Performance invalidity was classified using established cut scores. Diagnostic classification statistics were calculated predicting TOMM, WMT, and RDS performance, including sensitivity, specificity, receiver operating characteristics (ROC), and positive and negative predictive values for multiple TOMMe10 cut scores. Results: A cut score of2 errors on TOMMe10 yielded the highest sensitivity (.88) while maintaining.90 specificity when predicting TOMM (also supported by ROC analysis). This cut score was also optimal when validated against combinations of PVTs (e.g. two of TOMM, WMT, and RDS; WMT and/or RDS). Conclusions: TOMMe10 shows great promise in predicting future TOMM performance. In settings where time with patients is at a premium, 2 errors on TOMMe10 may be used as an early TOMM discontinue criteria, allowing examiners to use their limited time more effectively. The use of TOMMe10 in settings with varying TOMM failure base rates was discussed.
机译:目的:性能有效性测试是神经心理学评估的越来越重要的组成部分,但虽然管理独立的性能有效性测试(PVT)可能是耗时的。由于记忆恶作剧(TOMM)的测试是最常用和研究的PVT之一,很多工作都集中在保留诊断准确性的同时创建缩写版本。最近除此之外,在预测Tomm表现时,分析了第一个10项试验项目1(Tomme10)的错误的错误。方法:受试者是在长期癫痫监测单元上看到的180名退伍军人。 TOMM学习试验,单词记忆试验(WMT)和WAIS-IV数字跨度(用于可靠的数字跨度; RDS)作为较大电池的一部分进行管理。性能无效分类使用已建立的剪切分数。计算诊断分类统计数据预测Tomm,WMT和RDS性能,包括灵敏度,特异性,接收器操作特征(ROC),以及多个Tomme10 CUT分数的正负预测值。结果:Tomme10上的2个误差的切割得分产生最高的灵敏度(.88),同时在预测TOMM时保持90个特异性(ROC分析也支持)。当验证PVT的组合时,这种切割得分也是最佳的,因为PVT(例如Tomm,WMT和RDS中的两个; WMT和/或RDS)。结论:Tomme10在预测未来Tomm绩效方面表现出良好的承诺。在与患者在溢价的情况下,Tomme10上的2个误差可以用作早期的Domm停止标准,允许审查员更有效地使用它们的有限时间。讨论了使用Tomme10在具有不同Tomm失败基本率的环境中的使用。

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