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

IF 3 3区心理学 Q2 CLINICAL NEUROLOGY Clinical Neuropsychologist Pub Date : 2024-02-15 DOI:10.1080/13854046.2024.2315747

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

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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.

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飞利浦 IntelliSpace 认知数字测试电池的重测可靠性和可靠变化指数。

目的：本文介绍了飞利浦 IntelliSpace Cognition（ISC）平台的重复测试可靠性和可靠变化指数（RCIs）：方法：147 名参与者（19 至 88 岁）分别在两次访问中完成了 ISC 平台上的数字认知测试或纸笔版的相同测试。分别计算 ISC 和模拟测试版本的类内相关系数 (ICC)，以比较不同施测方式的可靠性。使用实践调整 RCI 和标准化回归法（SRB）计算了数字测试的 RCI：ISC测试的重测信度从中等到优秀不等，与纸笔测试的重测信度相当。基线测试成绩、重测间隔时间、年龄和教育程度都能预测第 2 次测试的成绩，其中基线测试成绩对所有结果测量的预测作用最大。对于大多数结果指标而言，两种计算 RCIs 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 RCIs 使临床医生能够确定两次评估之间测得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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical Neuropsychologist 医学-临床神经学

CiteScore

8.40

自引率

12.80%

发文量

审稿时长

6-12 weeks

期刊介绍： The Clinical Neuropsychologist (TCN) serves as the premier forum for (1) state-of-the-art clinically-relevant scientific research, (2) in-depth professional discussions of matters germane to evidence-based practice, and (3) clinical case studies in neuropsychology. Of particular interest are papers that can make definitive statements about a given topic (thereby having implications for the standards of clinical practice) and those with the potential to expand today’s clinical frontiers. Research on all age groups, and on both clinical and normal populations, is considered.