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测量精神分裂症的阴性症状变化:考虑自我报告之外的其他方法。

Measuring negative symptom change in schizophrenia: considering alternatives to self-report.

作者信息

Gupta Maya, Holshausen Katherine, Gou Lisa, Bowie Christopher

机构信息

Queen's University, Kingston, ON, Canada.

出版信息

Expert Rev Neurother. 2014 Aug;14(8):911-22. doi: 10.1586/14737175.2014.935341. Epub 2014 Jun 28.

DOI:10.1586/14737175.2014.935341
PMID:24976136
Abstract

Treatment of negative symptoms in schizophrenia is a priority, but is approaching stagnation, due in part to the methods used to assess change in these symptoms. Traditional methods for assessing negative symptoms employ subjective self-report and/or clinician-rated scales, both of which are contaminated by considerable measurement error. The purpose of this article is to highlight the limitations in current assessment measures for negative symptoms and discuss the advantages of quantitative objective measurement, particularly in the context of clinical trial research. Recent research from psychology, neuroscience and computer technology has produced objective quantitative measures such as facial analysis and virtual reality that are more precise and sensitive to change; these objective measures are poised to revolutionize the measurement of this critical symptom.

摘要

精神分裂症阴性症状的治疗是当务之急,但目前正趋于停滞,部分原因在于用于评估这些症状变化的方法。评估阴性症状的传统方法采用主观自我报告和/或临床医生评定量表,这两种方法都受到相当大的测量误差的影响。本文的目的是强调当前阴性症状评估措施的局限性,并讨论定量客观测量的优势,特别是在临床试验研究的背景下。心理学、神经科学和计算机技术的最新研究已经产生了诸如面部分析和虚拟现实等客观定量测量方法,这些方法对变化更精确、更敏感;这些客观测量方法有望彻底改变对这一关键症状的测量。

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