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飞利浦IntelliSpace Cognition数字测试组套的重测信度和可靠变化指数

Test-retest reliability and reliable change index of the Philips IntelliSpace Cognition digital test battery.

作者信息

Klaming Laura, Spaltman Mandy, Vermeent Stefan, van Elswijk Gijs, Miller Justin B, Schmand Ben

机构信息

Digital Cognitive Diagnostics, Philips Healthcare, Eindhoven, The Netherlands.

Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.

出版信息

Clin Neuropsychol. 2024 Oct;38(7):1707-1725. doi: 10.1080/13854046.2024.2315747. Epub 2024 Feb 15.

Abstract

OBJECTIVE

This article provides the test-retest reliability and Reliable Change Indices (RCIs) of the Philips IntelliSpace Cognition (ISC) platform, which contains digitized versions of well-established neuropsychological tests.

METHOD

147 participants (ages 19 to 88) completed a digital cognitive test battery on the ISC platform or paper-pencil versions of the same test battery during two separate visits. Intraclass correlation coefficients (ICC) were calculated separately for the ISC and analog test versions to compare reliabilities between administration modalities. RCIs were calculated for the digital tests using the practice-adjusted RCI and standardized regression-based (SRB) method.

RESULTS

Test-retest reliabilities for the ISC tests ranged from moderate to excellent and were comparable to the test-retest reliabilities for the paper-pencil tests. Baseline test performance, retest interval, age, and education predicted test performance at visit 2 with baseline test performance being the strongest predictor for all outcome measures. For most outcome measures, both methods for the calculation of RCIs show agreement on whether or not a reliable change was observed.

CONCLUSIONS

RCIs for the digital tests enable clinicians to determine whether a measured change between assessments is due to real improvement or decline. Together, this contributes to the growing evidence for the clinical utility of the ISC platform.

摘要

目的

本文提供了飞利浦IntelliSpace认知(ISC)平台的重测信度和可靠变化指数(RCI),该平台包含成熟神经心理学测试的数字化版本。

方法

147名参与者(年龄在19至88岁之间)在两次单独的访视期间,在ISC平台上完成了一组数字认知测试,或完成了同一组测试的纸笔版本。分别计算ISC测试版本和模拟测试版本的组内相关系数(ICC),以比较不同施测方式之间的信度。使用实践调整后的RCI和基于标准化回归(SRB)的方法计算数字测试的RCI。

结果

ISC测试的重测信度从中度到优秀不等,与纸笔测试的重测信度相当。基线测试表现、重测间隔、年龄和教育程度可预测第2次访视时的测试表现,其中基线测试表现是所有结果指标的最强预测因素。对于大多数结果指标,两种计算RCI的方法在是否观察到可靠变化方面显示出一致性。

结论

数字测试的RCI使临床医生能够确定两次评估之间测量到的变化是由于真正的改善还是下降。总之,这为ISC平台的临床实用性提供了越来越多的证据。

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