The burden of common skin diseases assessed with the EQ5D™: a European multicentre study in 13 countries

医学 皮肤病科
作者
Flora Balieva,J. Küpfer,Lars Lien,Uwe Gieler,A.Y. Finlay,Lucía Tomás Aragonés,F. Poot,L. Misery,Francesca Sampogna,Henriët van Middendorp,Jon Anders Halvorsen,Jacek C. Szepietowski,А. N. Lvov,S.E. Marrón,Sam Salek,Florence Dalgard
出处
期刊:British Journal of Dermatology [Oxford University Press]
卷期号:176 (5): 1170-1178 被引量:113
标识
DOI:10.1111/bjd.15280
摘要

Generic instruments measuring health‐related quality of life (HRQoL), like EQ5D™, enable comparison of skin diseases with healthy populations and nondermatological medical conditions, as well as calculation of utility data. To measure HRQoL in patients with common skin diseases and healthy controls across Europe using the EQ5D. This multicentre observational cross‐sectional study was conducted in 13 European countries. Each dermatology clinic recruited at least 250 consecutive adult outpatients to complete questionnaires, including the EQ5D. There were 5369 participants (4010 patients and 1359 controls). Mean ± SD self‐rated health state reported by patients was 69·9 ± 19·7; for controls it was 82·2 ± 15·5. When adjusted for confounding factors, including comorbidity, mean patient EQ visual analogue scores were 10·5 points lower than for controls (standardized β = −0·23). Odds ratio with 95% confidence interval for impairment in all five dimensions of EQ5D adjusted for confounders was doubled for patients compared with controls. Patients with hidradenitis suppurativa (HS), blistering conditions, leg ulcers, psoriasis and eczemas had the highest risk for reduction in HRQoL in most dimensions (2–10‐fold). Data on differences of impairment by dimensions offer new insights. This study confirms the large impact skin conditions have on patients' well‐being, differentiating between aspects of HRQoL. Patients with HS, blistering diseases, leg ulcers, infections and most chronic skin diseases reported reduced HRQoL compared with patients with chronic obstructive lung disease, diabetes mellitus, cardiovascular disease and cancers. These findings are important in the prioritization of resource allocation between medical fields and within dermatological subspecialities.
最长约 10秒,即可获得该文献文件

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
yueyueyue完成签到,获得积分10
刚刚
Lemon完成签到,获得积分10
1秒前
周舟完成签到 ,获得积分10
1秒前
酷酷念波完成签到,获得积分10
1秒前
和谐诗双完成签到 ,获得积分10
3秒前
月月完成签到,获得积分10
3秒前
3秒前
文静醉易完成签到,获得积分10
4秒前
音符丷完成签到 ,获得积分10
4秒前
4秒前
Dr.Dream完成签到,获得积分10
6秒前
WEILAI完成签到,获得积分10
6秒前
7秒前
孙乐777发布了新的文献求助10
8秒前
8秒前
陈林的爹完成签到,获得积分10
9秒前
负责纲完成签到,获得积分10
9秒前
9秒前
兴奋尔竹完成签到,获得积分10
10秒前
星辰大海应助nature24采纳,获得10
10秒前
10秒前
鱼叮叮完成签到,获得积分10
10秒前
心灵的守望完成签到,获得积分10
10秒前
madison发布了新的文献求助10
10秒前
Orange应助Lemon采纳,获得10
11秒前
Meng完成签到,获得积分10
11秒前
小白一个完成签到,获得积分10
12秒前
drew完成签到 ,获得积分10
12秒前
13秒前
冻冻妖完成签到,获得积分10
13秒前
AHR发布了新的文献求助10
13秒前
Mr.Ren完成签到,获得积分10
14秒前
幽默白柏完成签到,获得积分10
14秒前
jiahuo1完成签到,获得积分10
14秒前
teriteri完成签到,获得积分10
15秒前
15秒前
15秒前
好运连连完成签到 ,获得积分10
15秒前
ding应助杨易采纳,获得10
16秒前
小小牛完成签到,获得积分10
17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
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
The Handbook of Medicinal Chemistry: Principles and Practice 200
Interpretability and Explainability in AI Using Python 200
SPECIAL FEATURES OF THE EXCHANGE INTERACTIONS IN ORTHOFERRITE-ORTHOCHROMITES 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 3834076
求助须知:如何正确求助?哪些是违规求助? 3376485
关于积分的说明 10493557
捐赠科研通 3095982
什么是DOI,文献DOI怎么找? 1704818
邀请新用户注册赠送积分活动 820115
科研通“疑难数据库(出版商)”最低求助积分说明 771868