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多信息者平均整合 ADHD 症状评定预测并发和纵向损伤。

Multiple informant average integration of ADHD symptom ratings predictive of concurrent and longitudinal impairment.

机构信息

Psychology Department.

出版信息

Psychol Assess. 2021 May;33(5):443-451. doi: 10.1037/pas0000994. Epub 2021 Mar 15.

Abstract

To date, there remains no consensus about the best evidence-based method for integrating multiple informant data in the diagnosis of Attention-Deficit/Hyperactivity Disorder (ADHD). Several approaches exist, including the psychometrically sound approach of averaging scores, as well as the use of "OR" and "AND" algorithms, which are still commonly used in research. The current study tested these major integration methods in their concurrent and longitudinal prediction of clinician-rated impairment, teacher-rated academic, and parent- and self-rated social skill ratings in children overrecruited for ADHD across a 6-year span from childhood to adolescence. The sample included a total of 800 children, 480 with ADHD, ages 6 to 13, who completed a "gold standard" assessment of ADHD and associated impairment. Overall, the "OR," "AND," and average integration approaches showed significantly high interrelations with one another ( range from .78 to .96) and were all significantly and strongly related to impairment measures concurrently and longitudinally. Multivariate regressions demonstrated that the average integration approach concurrently and longitudinally out predicted the other two approaches. Results demonstrated that the average approach slightly outperformed the other two in its prediction of concurrent and longitudinal clinician-rated impairment, teacher-rated academic skills, and parent- and self-rated child social skills across childhood and adolescence. Evidence-based assessment integration of parent and teacher ratings of ADHD in childhood might best utilize an averaging approach, as it is most related to later impairment ratings, particularly if such findings are replicated by other groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

迄今为止,对于如何将多种信息源数据整合到注意力缺陷多动障碍(ADHD)的诊断中,仍然没有达成最佳循证方法的共识。存在几种方法,包括平均分数的心理测量学方法,以及“或”和“与”算法的使用,这些方法在研究中仍然很常见。本研究在 6 年的时间跨度内,从儿童期到青春期,测试了这些主要的整合方法在预测临床医生评定的损伤、教师评定的学业成绩、父母和自我评定的社会技能方面的同时和纵向预测能力,这些方法是针对 ADHD 过度招募的儿童进行的。样本包括总共 800 名儿童,其中 480 名患有 ADHD,年龄在 6 至 13 岁之间,他们完成了 ADHD 及其相关损伤的“黄金标准”评估。总体而言,“或”、“与”和平均整合方法彼此之间具有显著的高度相关性(范围从 0.78 到 0.96),并且都与损伤测量值在同时和纵向均呈显著和强相关。多元回归表明,平均整合方法在同时和纵向方面均优于其他两种方法。结果表明,在预测同时和纵向临床医生评定的损伤、教师评定的学业技能以及父母和自我评定的儿童社会技能方面,平均方法略优于其他两种方法。在儿童时期,对 ADHD 的父母和教师评分进行基于证据的评估整合可能最好利用平均方法,因为它与后来的损伤评分最相关,特别是如果这些发现得到其他群体的复制。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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