Universal health coverage in China: a serial national cross-sectional study of surveys from 2003 to 2018

人均 医学 中国大陆 中国 环境卫生 整群抽样 索引(排版) 人口 人口学 地理 社会经济学 经济 计算机科学 万维网 社会学 考古
作者
Ying Zhou,Chenshuang Li,Minghuan Wang,Shabei Xu,Lingling Wang,Jianping Hu,Lieyun Ding,Wei Wang
出处
期刊:The Lancet. Public health [Elsevier]
卷期号:7 (12): e1051-e1063 被引量:19
标识
DOI:10.1016/s2468-2667(22)00251-1
摘要

Achieving universal health coverage (UHC) is one crucial target of the Sustainable Development Goals. However, consistent trends data for UHC evaluation in China are still scarce. The aim of our study was to provide a comprehensive assessment of UHC in China.In this serial cross-sectional study, we collected nationally representative data from the latest four rounds (2003, 2008, 2013, and 2018) of the National Health Service Surveys, with the aim of evaluating UHC in China. These surveys used multistage stratified cluster sampling covering all 31 provinces, autonomous regions, and municipalities in mainland China. Within each household, all members aged 15 years and older were interviewed. For children and adolescents aged younger than 15 years, their adult family members answered the questions for them. We constructed a UHC index following the WHO-recommended framework that included service coverage (nine prevention indicators and five treatment indicators) and financial protection (three indicators) dimensions. Bayesian regression models were done to investigate the trends in and projections of UHC index and indicators, with average annual percentage change (AAPC) and probabilities of achieving the 2030 WHO targets. Based on trends and projections, we counted population equivalents with UHC coverage. To examine the potential efficiency of financial investment, we quantified UHC performance based on government health expenditure (GHE) per capita. Finally, we explored the association between each UHC indicator and macroeconomic and health systems characteristics by using multiple regression.We sampled 57 023 households from 95 counties between September and October, 2003; 56 456 households from 94 counties between June and July, 2008; 93 613 households from 156 counties between August and October, 2013; and 94 076 households from 156 counties in September, 2018. A total of 901 182 individuals were involved in this study (193 689 in 2003, 177 501 in 2008, 273 688 in 2013, and 256 304 in 2018). Although the overall UHC increased from 44·0% (95% CI 43·0-44·9) in 2003 to 79·8% (79·2-80·3) in 2018 and is predicted to meet the 80% global target by 2030, the progress towards UHC has steadily slowed down nationally. Based on current projections, an estimated 105·8 (95% CI 27·3-189·1) million population equivalents would still not have UHC coverage in 2030. The treatment index showed a large increase over time from 2003 to 2018 (AAPC 4·9%, 2·9-7·2), with minimal disparities and all subgroups will achieve the target in the treatment domain by 2030 (possibilities higher than 90%). However, the prevention index presented poor performance with a small increase over time from 2003 to 2018 (AAPC 1·4%, 0·3-2·5) and sizable disparities across regions, urban-rural areas, and income (all p<0·0001). To achieve at least 80% UHC coverage, provinces would need to reach at least ¥445 in GHE per capita per year under maximum efficiency. However, large gaps between the observed and frontier UHC index, especially in several western provinces, indicated inefficiency. Furthermore, we found that primary health-care institutions were closely and positively related to UHC indicators especially in the prevention domain.Although considerable achievements have been made, the progress towards UHC is not keeping pace with the rapid society development in China. Considering an increased burden in non-communicable diseases and an ageing population, prioritising the efficacy of financial investment and optimising resource allocation by strengthening primary health care are necessary to achieve UHC in China.National Natural Science Foundation of China and National Health Commission of the People's Republic of China.

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
一牧牧完成签到,获得积分10
2秒前
我谈完成签到,获得积分10
3秒前
rainhowk完成签到,获得积分10
3秒前
yaxxx完成签到,获得积分10
3秒前
zhuo完成签到,获得积分10
5秒前
修兮完成签到 ,获得积分10
6秒前
6秒前
悸动完成签到 ,获得积分10
8秒前
领导范儿应助活力的明雪采纳,获得10
8秒前
8秒前
yggmdggr完成签到,获得积分10
9秒前
11秒前
乔an发布了新的文献求助10
11秒前
Hh完成签到 ,获得积分10
11秒前
Moihan完成签到,获得积分10
13秒前
15秒前
zhb发布了新的文献求助10
16秒前
CC发布了新的文献求助10
16秒前
搜集达人应助温酒叙人生采纳,获得10
16秒前
17秒前
18秒前
团子团子猪完成签到,获得积分10
20秒前
酷波er应助如风采纳,获得10
22秒前
橘子树发布了新的文献求助10
24秒前
24秒前
spyro完成签到 ,获得积分10
25秒前
27秒前
28秒前
Isaiah发布了新的文献求助10
30秒前
30秒前
行止完成签到,获得积分10
32秒前
英俊的铭应助nana湘采纳,获得10
32秒前
efe发布了新的文献求助10
32秒前
xiebirds完成签到,获得积分10
32秒前
SAIKIMORI完成签到 ,获得积分10
34秒前
35秒前
Miio关注了科研通微信公众号
37秒前
猪猪侠完成签到,获得积分10
37秒前
37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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
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 6025230
求助须知:如何正确求助?哪些是违规求助? 7661153
关于积分的说明 16178620
捐赠科研通 5173393
什么是DOI,文献DOI怎么找? 2768188
邀请新用户注册赠送积分活动 1751589
关于科研通互助平台的介绍 1637669