EQ-5D-5L Population Scores in Mainland China: Results From a Nationally Representative Survey 2021

中国大陆 中国 大陆 环境卫生 china mainland 地理 人口 人口学 医学 社会经济学 社会学 考古
作者
Qiang Yao,Fei Yang,Xiaodan Zhang,Jiale Qi,Haomiao Li,Yibo Wu,Chaojie Liu
出处
期刊:Value in Health [Elsevier BV]
卷期号:27 (11): 1573-1584 被引量:4
标识
DOI:10.1016/j.jval.2024.06.012
摘要

Objectives There is a lack of monitoring changes in the population scores of the most recent version, EQ-5D-5L, in mainland China. This study aims to address this knowledge gap by assessing the EQ-5D-5L scores in mainland China using a nationally representative sample. Methods Data were extracted from the 2021 Survey of Health Index of Chinese Families, which covered 31 provinces/autonomous regions/municipalities in mainland China. The survey employed a multi-stage quota sampling strategy encompassing 120 prefecture-level cities. Quotas were allocated to each prefecture-level city in accordance with the 2020 China Population Census. This approach resulted in a final sample of 11,030 eligible questionnaires. The utility index and EQ Visual Analogue Scale (VAS) scores were reported for the entire sample (age-gender-urban/rural weighted) and by the characteristics of the study participants. Results The study participants had a weighted mean utility index of 0.939 (SD=0.135) and EQ VAS score of 80.19 (SD=18.39). The most commonly reported problem was anxiety/depression (26.37%), while self-care was the least reported problem (6.18%). Those who were male, younger, lived without chronic conditions and disabilities, had higher levels of education, earned higher monthly household income, and were covered by basic medical insurance for urban employees had higher scores in both the utility index and EQ VAS. Conclusion This study revealed slightly lower utility index scores despite a much higher drop in EQ VAS scores while China maintained minimum cases of COVID-19 in 2021 compared to the population norms recorded in 2019. Further studies are warranted to unveil the full impacts of COVID-19 outbreaks.
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
1秒前
卷毛宋宋完成签到 ,获得积分20
2秒前
3秒前
Joshua完成签到,获得积分10
3秒前
4秒前
代代完成签到 ,获得积分10
6秒前
结实鹰完成签到,获得积分10
10秒前
Owen应助超级天磊采纳,获得10
10秒前
12秒前
ROY完成签到,获得积分10
13秒前
loyal发布了新的文献求助10
13秒前
赘婿应助猪大大采纳,获得10
13秒前
15秒前
15秒前
orixero应助zzz采纳,获得10
16秒前
蓝天应助arniu2008采纳,获得10
18秒前
里苏特发布了新的文献求助10
18秒前
sctaaa完成签到,获得积分10
19秒前
19秒前
兴奋的幻竹完成签到,获得积分10
21秒前
Lucas应助耍酷崽崽采纳,获得10
22秒前
林撞树发布了新的文献求助10
23秒前
卷毛宋宋关注了科研通微信公众号
26秒前
踢到脚嗷嗷完成签到,获得积分10
28秒前
chnningji发布了新的文献求助10
29秒前
31秒前
PU聚氨酯完成签到,获得积分10
31秒前
31秒前
32秒前
haha发布了新的文献求助10
33秒前
34秒前
34秒前
36秒前
36秒前
呆萌的菠萝完成签到,获得积分10
37秒前
耍酷崽崽发布了新的文献求助10
38秒前
小二郎应助潇洒的惋清采纳,获得10
40秒前
40秒前
Lucas应助潇洒的惋清采纳,获得10
40秒前
传奇3应助潇洒的惋清采纳,获得10
40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
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Research Methods for Applied Linguistics 500
Picture Books with Same-sex Parented Families Unintentional Censorship 444
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 6412630
求助须知:如何正确求助?哪些是违规求助? 8231679
关于积分的说明 17471216
捐赠科研通 5465373
什么是DOI,文献DOI怎么找? 2887702
邀请新用户注册赠送积分活动 1864414
关于科研通互助平台的介绍 1702977