健康中国建设——消除健康不均衡专家共识
Expert consensus on eliminating health disparities building a healthy China
马亚楠 1彭雯 2吴谦 3陈佳鹏 4曾令霞 3王耀刚 5闻德亮 6王友发3
作者信息
- 1. 中国医科大学,辽宁沈阳 110122
- 2. 青海大学
- 3. 西安交通大学
- 4. 中国人口与发展研究中心
- 5. 天津中医药大学;天津医科大学
- 6. 中国医科大学,辽宁沈阳 110122;锦州医科大学
- 折叠
摘要
健康不均衡一直是国际社会非常关注的公共卫生问题,也是世界卫生组织和一些国家高度重视的社会问题.针对此问题,我国实施了一系列政策和行动,尤其是近年来成功实施的健康扶贫工作,取得了重大成果.然而,目前我国地区间和部分人群间的健康不均衡问题仍然突出,亟需有效的行动和共识来应对该项挑战.基于国内外相关行动策略和研究成果,来自西安交通大学全球健康研究院等机构的35位权威专家经过多轮研究讨论,形成了《健康中国建设—消除健康不均衡专家共识》(以下简称《共识》).《共识》概括和总结了中国健康不均衡的问题与挑战、责任与策略、行动与路径,并提出了一系列未来行动的建议,旨在消除当前我国健康不均衡,推动"共建共享、全民健康",助力"健康中国"建设.
Abstract
Health disparities have always been a public health issue of great concern to the international community,as well as a social problem that the World Health Organization and some countries attach great importance to.In response to this problem,China has implemented a series of policies and actions,especially with the successful implementation of health poverty alleviation,which has achieved significant achievements in recent years.However,the problem of health disparities between regions and certain populations in China is still prominent and requires effective action and consensus to address this challenge.Based on domestic and international relevant strategies and research,35 authoritative experts from institutions such as the Global Health Research Institute of Xi'an Jiaotong University have formed the"Expert Consensus on Building a Healthy China and Eliminating Health Disparities"(hereinafter referred to as the"Consensus")after multiple rounds of research and discussion.The"Consensus"summarizes the problems and challenges,responsibilities and strategies,specific actions and paths,and provides a series of recommendations for future actions,aiming to eliminate China's current health disparities,promote"joint efforts and resources sharing,health for all"and help build a"healthy China".
关键词
健康中国/消除健康不均衡/慢性病/专家共识Key words
Healthy China/Eliminating health disparities/Non-communicable chronic diseases/Expert consensus引用本文复制引用
出版年
2024
NETL
NSTL
万方数据