The Duration-Adjusted Reliable Change Index: Defining Clinically Relevant Symptom Changes of Varying Durations.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-10-01 Epub Date: 2024-01-27 DOI:10.1177/10731911231221808
Marieke A Helmich
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引用次数: 0

Abstract

The time period over which relevant symptoms shifts unfold is not uniform across individuals. This article proposes an adaptation of the Reliable Change Index (RCI) to detect symptom changes of varying durations in individual patients' time series: the Duration-Adjusted RCI (DARCI). The DARCI proportionally raises the RCI cut-off to account for its extension over additional time increments, resulting in different DARCI thresholds for different change durations. The method is illustrated with a simulation study of depressive symptom time series with varying degrees of discontinuity and overall mean change, and four empirical case examples from two clinical samples. The results suggest that the DARCI may be particularly useful for identifying symptom shifts that appear relatively abrupt, which can help indicate when a patient is showing significant improvement or deterioration. Its ease of use makes it suitable for application in clinical contexts and a promising method for exploring transitions in psychiatric populations.

持续时间调整可靠变化指数:定义不同持续时间的临床相关症状变化。
不同个体相关症状变化的持续时间并不一致。本文对可靠变化指数(RCI)进行了调整,以检测个体患者时间序列中不同持续时间的症状变化:持续时间调整后的可靠变化指数(DARCI)。DARCI 按比例提高了 RCI 临界值,以考虑其在额外时间增量上的延伸,从而针对不同的变化持续时间设定不同的 DARCI 临界值。该方法通过对具有不同程度不连续性和总体平均变化的抑郁症状时间序列的模拟研究,以及来自两个临床样本的四个经验案例进行了说明。研究结果表明,DARCI 对于识别相对突然的症状变化特别有用,这有助于表明患者的症状是明显好转还是恶化。DARCI 易于使用,适合在临床环境中应用,是探索精神病患者病情转变的一种很有前途的方法。
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
CiteScore
7.20
自引率
4.30%
发文量
567
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