Development and validation of the Benzodiazepine Hypnotics Withdrawal Symptom Scale (BHWSS) based on item response theory.

苯二氮卓 临床心理学 医学 比例(比率) 心理学 焦虑 克朗巴赫阿尔法 精神科
作者
Hajime Narisawa,Yuichi Inoue,Mina Kobayashi,Isa Okajima,Takashi Kikuchi,Tatsuo Kagimura,Kentaro Matsui,Ken Inada,Kazuo Mishima
出处
期刊:Psychiatry Research-neuroimaging [Elsevier BV]
卷期号:300: 113900-113900 被引量:1
标识
DOI:10.1016/j.psychres.2021.113900
摘要

This study aimed to refine and validate the Benzodiazepine Hypnotics Withdrawal Symptom Scale (BHWSS). The 12-item prototype version of the BHWSS was administered to a sample of 346 patients with chronic insomnia (161 males and 185 females, mean age: 52.8 ± 16.6 years) who had been taking hypnotics (benzodiazepines [BZDs] or BZD receptor agonists) for at least 3 months. The item information curve indicated that two of the 12 BHWSS items should be excluded. As a result of analyzing the 10-item version of the BHWSS (revised-BHWSS), the contribution rate in the case of the factor 1 was 0.49, Cronbach's α was 0.90, and the reliability coefficient ω was 0.91. An analysis of the item information curve for the revised-BHWSS indicated that the information amount per item increased from 3.90 for the original 12-item BHWSS to 4.37 for the 10-item revised-BHWSS. The receiver operating characteristic curve indicated that 6.5 points on the revised-BHWSS was the most appropriate cutoff for estimating moderate or severe withdrawal symptoms using the Benzodiazepine Dependence Self-Report Questionnaire as a reference. These results suggest that the 10-item revised-BHWSS has sufficient reliability and validity for evaluating the severity of withdrawal symptoms after discontinuing BZDs.

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
次一口8发布了新的文献求助10
刚刚
风中的寻云完成签到,获得积分20
1秒前
jackmilton完成签到,获得积分10
2秒前
Tomice发布了新的文献求助10
2秒前
2秒前
科研通AI5应助枫叶采纳,获得10
2秒前
WW发布了新的文献求助10
2秒前
hjyylab应助GD采纳,获得10
2秒前
zommen完成签到 ,获得积分10
3秒前
林林林林完成签到 ,获得积分10
5秒前
6秒前
飞天小女警完成签到,获得积分10
6秒前
6秒前
XLeft完成签到 ,获得积分10
8秒前
8秒前
8秒前
枫叶完成签到,获得积分10
9秒前
9秒前
10秒前
10秒前
14秒前
眼睛大盼兰完成签到 ,获得积分10
14秒前
log发布了新的文献求助10
15秒前
赵小满发布了新的文献求助10
15秒前
搜集达人应助黄建雨采纳,获得10
16秒前
17秒前
十年完成签到 ,获得积分10
17秒前
boxi完成签到,获得积分10
18秒前
18秒前
18秒前
寒冷天空完成签到,获得积分10
19秒前
俭朴依白完成签到,获得积分10
19秒前
20秒前
Schroenius完成签到 ,获得积分10
20秒前
自信乐天发布了新的文献求助10
22秒前
23秒前
次一口8完成签到,获得积分10
23秒前
CipherSage应助111采纳,获得30
24秒前
juno完成签到,获得积分10
24秒前
26秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Parallel Optimization 200
Artificial bee colony algorithm 200
Plasticity Theory for Soil Stress-Strain Behavior 200
Deciphering Earth's History: the Practice of Stratigraphy 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835233
求助须知:如何正确求助?哪些是违规求助? 3377688
关于积分的说明 10499920
捐赠科研通 3097264
什么是DOI,文献DOI怎么找? 1705630
邀请新用户注册赠送积分活动 820643
科研通“疑难数据库(出版商)”最低求助积分说明 772164