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Psychometric properties of the Flemish translation of the NEECHAM Confusion Scale

机译:NEECHAM混淆量表佛兰德语翻译的心理计量学特性

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Background Determination of a patient's cognitive status by use of a valid and reliable screening instrument is of major importance as early recognition and accurate diagnosis of delirium is necessary for effective management. This study determined the reliability, validity and diagnostic value of the Flemish translation of the NEECHAM Confusion Scale. Methods A sample of 54 elderly hip fracture patients with a mean age of 80.9 years (SD = 7.85) were included. To test the psychometric properties of the NEECHAM Confusion Scale, performance on the NEECHAM was compared to the Confusion Assessment Method (CAM) and the Mini-Mental State Examination (MMSE), by using aggregated data based on 5 data collection measurement points (repeated measures). The CAM and MMSE served as gold standards. Results The alpha coefficient for the total NEECHAM score was high (0.88). Principal components analysis yielded a two-component solution accounting for 70.8% of the total variance. High correlations were found between the total NEECHAM scores and total MMSE (0.75) and total CAM severity scores (-0.73), respectively. Diagnostic values using the CAM algorithm as gold standard showed 76.9% sensitivity, 64.6% specificity, 13.5% positive and 97.5% negative predictive values, respectively. Conclusion This validation of the Flemish version of the NEECHAM Confusion Scale adds to previous evidence suggesting that this scale holds promise as a valuable screening instrument for delirium in clinical practice. Further validation studies in diverse clinical populations; however, are needed.
机译:背景技术使用有效且可靠的筛查仪器来确定患者的认知状况至关重要,因为有效识别management妄必须及早识别和准确诊断。这项研究确定了NEECHAM混淆量表的佛兰德语翻译的可靠性,有效性和诊断价值。方法纳入54例平均年龄为80.9岁(SD = 7.85)的老年髋部骨折患者。为了测试NEECHAM混淆量表的心理测量特性,通过使用基于5个数据收集测量点的汇总数据(重复测量),将NEECHAM的性能与混淆评估方法(CAM)和小精神状态检查(MMSE)进行了比较)。 CAM和MMSE是黄金标准。结果NEECHAM总分的α系数很高(0.88)。主成分分析产生了两成分解,占总方差的70.8%。总NEECHAM得分与总MMSE(0.75)和总CAM严重性得分(-0.73)之间分别发现高度相关。使用CAM算法作为金标准的诊断值分别显示出76.9%的敏感性,64.6%的特异性,13.5%的阳性和97.5%的阴性预测值。结论对佛兰德语版本的NEECHAM Confusion量表的这种验证增加了以前的证据,表明该量表有望作为临床实践中del妄的有价值的筛查工具。在不同临床人群中进行进一步的验证研究;但是,这是必需的。

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