Self-Evaluation of Negative Symptoms: A Novel Tool to Assess Negative Symptoms

心理学 临床心理学 阴性症状 医学 精神科 精神病
作者
Sonia Dollfus,Cyril Mach,Rémy Morello
出处
期刊:Schizophrenia Bulletin [Oxford University Press]
卷期号:42 (3): 571-578 被引量:114
标识
DOI:10.1093/schbul/sbv161
摘要

Many patients with schizophrenia have negative symptoms, but their evaluation is a challenge. Thus, standardized assessments are needed to facilitate identification of these symptoms. Many tools have been developed, but most are based on observer ratings. Self-evaluation can provide an additional outcome measure and allow patients to be more engaged in their treatment. The aim of this study was to present a novel tool, Self-evaluation of Negative Symptoms (SNS), and demonstrate its validity. Forty-nine patients with schizophrenia and schizoaffective disorders according to DSM-5 were evaluated. Cronbach's coefficient (α = 0.867) showed good internal consistency. Factor analysis extracted 2 factors (apathy and emotional) that accounted for 75.2% of the variance. The SNS significantly correlated with the Scale of Assessment of Negative Symptoms (r= 0.628) and the Clinician Global Impression on the severity of negative symptoms (r= 0.599), supporting good convergent validity. SNS scores did not correlate with level of insight (r= 0.008), Parkinsonism (r= 0.175) or Brief Psychiatric Rating Scale positive subscores (r= 0.253), which indicates good discriminant validity. The intrasubject reliability of the SNS revealed excellent intraclass correlation coefficients (ICC = 0.942). Taken together, the results show that the SNS has good psychometric properties and satisfactory acceptance by patients. The study also demonstrates the ability of patients with schizophrenia to accurately report their own experiences. Self-assessments of negative symptoms should be more widely employed in clinical practice because they may allow patients with schizophrenia to develop appropriate coping strategies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
专注的豆芽完成签到,获得积分10
刚刚
刚刚
刚刚
邹邹应助FU采纳,获得10
刚刚
1秒前
hyx发布了新的文献求助10
1秒前
1秒前
1秒前
Hannah发布了新的文献求助10
1秒前
2秒前
2秒前
2秒前
嘤嘤怪发布了新的文献求助10
3秒前
3秒前
汉堡包应助沉静凡白采纳,获得10
3秒前
星辰大海应助xx采纳,获得10
3秒前
活泼高烽完成签到,获得积分10
3秒前
汤圆发布了新的文献求助10
3秒前
马云朋友完成签到,获得积分10
4秒前
陈小霞完成签到,获得积分10
5秒前
5秒前
禾火发布了新的文献求助10
5秒前
5秒前
小何完成签到,获得积分10
5秒前
祁淑娴发布了新的文献求助10
5秒前
6秒前
mm发布了新的文献求助10
6秒前
卡瓦格博完成签到,获得积分10
6秒前
玲哥儿发布了新的文献求助10
7秒前
虚幻的依丝关注了科研通微信公众号
7秒前
星辰大海应助7k7k采纳,获得10
7秒前
可爱的函函应助wuliweiwei采纳,获得10
8秒前
Vanilla0212发布了新的文献求助10
8秒前
ding应助Tonald Yang采纳,获得10
8秒前
8秒前
害羞静柏发布了新的文献求助10
9秒前
9秒前
9秒前
啵啵阳子发布了新的文献求助20
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6422222
求助须知:如何正确求助?哪些是违规求助? 8241137
关于积分的说明 17516575
捐赠科研通 5476243
什么是DOI,文献DOI怎么找? 2892751
邀请新用户注册赠送积分活动 1869209
关于科研通互助平台的介绍 1706644