Minimal clinically important difference on the Beck Depression Inventory - II according to the patient's perspective

最小临床重要差异 贝克抑郁量表 萧条(经济学) 医学 物理疗法 随机对照试验 接收机工作特性 评定量表 基线(sea) 焦虑 精神科 统计 外科 内科学 数学 海洋学 经济 宏观经济学 地质学
作者
Katherine S. Button,Daphne Kounali,Laura Thomas,Nicola Wiles,T. J. Peters,Nicky J. Welton,A. E. Ades,Glyn Lewis
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:45 (15): 3269-3279 被引量:252
标识
DOI:10.1017/s0033291715001270
摘要

Background The Beck Depression Inventory, 2nd edition (BDI-II) is widely used in research on depression. However, the minimal clinically important difference (MCID) is unknown. MCID can be estimated in several ways. Here we take a patient-centred approach, anchoring the change on the BDI-II to the patient's global report of improvement. Method We used data collected ( n = 1039) from three randomized controlled trials for the management of depression. Improvement on a ‘global rating of change’ question was compared with changes in BDI-II scores using general linear modelling to explore baseline dependency, assessing whether MCID is best measured in absolute terms (i.e. difference) or as percent reduction in scores from baseline (i.e. ratio), and receiver operator characteristics (ROC) to estimate MCID according to the optimal threshold above which individuals report feeling ‘better’. Results Improvement in BDI-II scores associated with reporting feeling ‘better’ depended on initial depression severity, and statistical modelling indicated that MCID is best measured on a ratio scale as a percentage reduction of score. We estimated a MCID of a 17.5% reduction in scores from baseline from ROC analyses. The corresponding estimate for individuals with longer duration depression who had not responded to antidepressants was higher at 32%. Conclusions MCID on the BDI-II is dependent on baseline severity, is best measured on a ratio scale, and the MCID for treatment-resistant depression is larger than that for more typical depression. This has important implications for clinical trials and practice.

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
不朽你的眉眼完成签到,获得积分10
刚刚
学霸土豆发布了新的文献求助10
刚刚
wzy发布了新的文献求助10
1秒前
超帅冬云完成签到 ,获得积分10
1秒前
友好的若雁完成签到,获得积分10
1秒前
科研通AI2S应助zwx采纳,获得10
1秒前
艾米发布了新的文献求助10
1秒前
Owen应助漂亮翠曼采纳,获得10
1秒前
1秒前
2秒前
怕黑晓亦发布了新的文献求助10
2秒前
tender发布了新的文献求助10
3秒前
负责的寒梅应助1111采纳,获得10
3秒前
龙科研发布了新的文献求助10
3秒前
希伊奥发布了新的文献求助10
3秒前
平生欢发布了新的文献求助10
3秒前
识字岭的岭应助一杯半茶采纳,获得10
4秒前
糖醋里脊发布了新的文献求助20
4秒前
4秒前
5秒前
斯文败类应助潘西采纳,获得10
5秒前
优美猕猴桃完成签到 ,获得积分10
6秒前
不想科研应助学霸土豆采纳,获得10
7秒前
7秒前
梦月发布了新的文献求助10
8秒前
8秒前
an发布了新的文献求助10
9秒前
hhh完成签到,获得积分20
9秒前
10秒前
11秒前
didi发布了新的文献求助10
11秒前
11秒前
12秒前
12秒前
12秒前
RUI1128发布了新的文献求助10
14秒前
14秒前
量子星尘发布了新的文献求助10
14秒前
KP发布了新的文献求助10
15秒前
15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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6049219
求助须知:如何正确求助?哪些是违规求助? 7836705
关于积分的说明 16262425
捐赠科研通 5194524
什么是DOI,文献DOI怎么找? 2779531
邀请新用户注册赠送积分活动 1762773
关于科研通互助平台的介绍 1644807