Clinical utility of the Rey 15-Item Test, recognition trial, and error scores for detecting noncredible neuropsychological performance in a mixed clinical sample of veterans

Clinical utility of the Rey 15-Item Test, recognition trial, and error scores for detecting noncredible neuropsychological performance in a mixed clinical sample of veterans
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DOI:
10.1080/13854046.2017.1333151
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发表时间:
2018-01-01
影响因子:
3.9
通讯作者:
O'Rourke, Justin J. F.
O'Rourke, Justin J. F.
中科院分区:
心理学3区
文献类型:
--
作者:
Bailey, K. Chase;Soble, Jason R.;O'Rourke, Justin J. F.

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目的:本横断面研究比较了Rey 15-Item Test (RFIT)、Recognition Trial和Error Scores在混合临床退伍军人样本中识别不可信表现的效果,并将其与另一种广泛使用的效度测量方法Test of Memory Malingering (TOMM)进行了比较。方法:选取62名在临床评估时完成RFIT (Recall/Recognition Trials)、TOMM和Word Memory Test (WMT)的退伍军人。以WMT为标准,71% (N = 44)为有效,29% (N = 18)为无效。结果:在有效参与者中,25%的RFIT召回失败,而78%的无效参与者通过(敏感性:22%;特异性:75%;诊断优势比[DOR]: 0.86)。识别试验将识别无效表现的敏感性提高到39%,但25%的有效参与者得分仍低于临界值(特异性:75%;DOR: 1.91)。RFIT Recall and Recognition Trial logistic回归和受试者工作特征(ROC)分析均无统计学意义,分类准确率分别为71和72.6%,曲线下面积(auc)为。52和。55。RFIT错误评分也无法区分有效性组。相比之下,TOMM具有更强的心理测量特性(灵敏度:50%;特异性:97.7%;DOR: 43;分类准确率:82.3%;AUC: 0.91)。此外,认知障碍患者的RFIT回忆和识别失败率分别高出14%和22%,而认知障碍患者和非认知障碍患者的RFIT回忆和识别失败率分别为95%和100%。结论:尽管RFIT在退伍军人神经心理学家中经常使用,但它在检测不可信表现方面的能力有限,并且在混合临床退伍军人样本中错误分类了很大比例的有效参与者,这表明它在这一人群中的效用有限。
Objective: This cross-sectional study examined the Rey 15-Item Test (RFIT), Recognition Trial, and Error Scores for identifying noncredible performance in a mixed clinical veteran sample compared to another widely used validity measure, the Test of Memory Malingering (TOMM). Method: Sixty-two veterans who completed the RFIT (Recall/Recognition Trials), TOMM, and Word Memory Test (WMT) during clinical evaluation were included. Using the WMT as the criterion, 71% (N = 44) were classified as valid and 29% (N = 18) as invalid. Results: Among valid participants, 25% failed the RFIT Recall, whereas 78% of invalid participants passed (sensitivity: 22%; specificity: 75%; diagnostic odds ratio [DOR]: .86). The Recognition Trial increased sensitivity to 39% for identifying invalid performance, but 25% of valid participants still scored below cut-off (specificity: 75%; DOR: 1.91). RFIT Recall and Recognition Trial logistic regression and receiver operating characteristic (ROC) analyses were nonsignificant, with respective classification accuracies of 71 and 72.6% and areas under the curve (AUCs) of .52 and .55. RFIT Error Scores also failed to differentiate validity groups. In contrast, TOMM had stronger psychometric properties (sensitivity: 50%; specificity: 97.7%; DOR: 43; classification accuracy: 82.3%; AUC: .91). Moreover, RFIT Recall and Recognition failure rates were 14 and 22% greater, respectively, among those with cognitive impairment, whereas 95% of those with impairment and 100% without passed the TOMM. Conclusion: Despite frequent use among VA neuropsychologists, the RFIT displayed limited ability to detect noncredible performance and misclassified a large percentage of valid participants in this mixed clinical veteran sample, suggesting limited utility with this population.