Who will care for you when you get old? A study of inequities in health and long-term care among the elderly in rural China
当你老了谁来照顾你?
基本信息
- 批准号:ES/N002717/1
- 负责人:
- 金额:$ 34.29万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The proposed study seeks to address key questions concerning the health and LTC among rural elderly in China, bridging the research gap in this area, and offering policy suggestions. People above the age of 60 account for more than 15% of the Chinese rural population. This percentage is expected to increase in the next few decades. In rural China, elderly people are relying on family members to provide care. However, as more and more young people are migrating to big cities, the expectation that family members will be available to provide care for rural elderly is becoming unrealistic. Institutional LTC care is usually expensive in China, and although the government partially reimburses the costs through a social health insurance scheme or other mechanisms, service users are still responsible for a substantial amount of co-payments. These costs may be too expensive for the rural elderly living in poverty to afford, which exacerbates the issue of unequal access to care. The proposed study seeks to examine inequities in health and LTC among rural elderly in China. This study will first examine whether the socioeconomic status of the rural elderly is associated with their health status. It will then assess the impact of a non-communicable disease prevention and control programme on rural elderly with different socioeconomic backgrounds, and also examine whether the needs of the rural elderly population can be sufficiently addressed with home-based care support. The study will simulate the population structure of the rural Chinese in the next few decades, and predict whether the New Cooperative Medical Scheme (NCMS) (the only financial support available to the rural elderly to finance their LTC) will be sustainable in the long term. It will draw lessons on LTC financing from other developed countries, and propose potential policy recommendations for decision makers. The study results will benefit a number of stakeholders including policy makers who are designing ageing-related policies in China, organisations specialising in home-based LTC services, the rural elderly and their family carers. The study results will reveal how the current health status and patterns of health care and LTC use among the rural elderly differ across different socioeconomic groups. The intention is to inform the policy making process and encourage policy makers to re-examine existing health and LTC policies. Organisations specialising in home-based LTC will also benefit from this study, because this study aims to identify whether the current family care is able to meet the needs of the elderly and identify areas where there may be opportunities to develop formal home-based LTC care. Finally, this study will benefit rural elderly and their family members by engaging them in various dissemination activities and dialogues with policy makers and other relevant parties. This study will employ sophisticated econometrics methods, such as the Concentration Index, Instrumental Variables (IV), and various other simulation models. Data will be drawn from the China Health and Retirement Longitudinal Study (CHARLS). This study builds on initial quantitative skills in health inequity research I have developed from my previous work (e.g. the Concentration Index and Panel Data Regressions), and is complemented by training opportunities that the Future Research Leaders Scheme provides (e.g. advanced quantitative courses and various knowledge exchange workshops). The scheme will put me in a position to deliver strong evidence-based policy research that can influence policies.
本研究旨在解决中国农村老年人健康和长期护理的关键问题,弥补该领域的研究空白,并提供政策建议。 60岁以上老年人口占中国农村人口的15%以上。预计这一比例在未来几十年内还会增加。在中国农村,老年人依靠家庭成员提供照顾。然而,随着越来越多的年轻人迁移到大城市,家庭成员能够为农村老人提供照顾的期望变得不切实际。在中国,机构长期护理服务通常价格昂贵,尽管政府通过社会医疗保险计划或其他机制报销部分费用,但服务使用者仍需承担大量自付费用。这些费用对于生活贫困的农村老年人来说可能过于昂贵,无法承受,从而加剧了获得护理机会不平等的问题。拟议的研究旨在探讨中国农村老年人在健康和长期护理方面的不平等。本研究首先考察农村老年人的社会经济状况与其健康状况是否相关。然后将评估非传染性疾病预防和控制计划对不同社会经济背景的农村老年人的影响,并研究家庭护理支持是否可以充分满足农村老年人口的需求。该研究将模拟未来几十年中国农村的人口结构,并预测新型合作医疗(新农合)(农村老年人唯一可用于长期护理的财政支持)是否能够长期持续。它将借鉴其他发达国家长期TC融资的经验教训,并为决策者提出潜在的政策建议。研究结果将使许多利益相关者受益,包括正在制定中国老龄化相关政策的政策制定者、专门从事家庭长期护理服务的组织、农村老年人及其家庭照顾者。研究结果将揭示不同社会经济群体的农村老年人当前的健康状况以及医疗保健和长期护理服务使用模式有何不同。其目的是为政策制定过程提供信息,并鼓励政策制定者重新审查现有的卫生和长期护理政策。专门从事家庭长期护理的组织也将从这项研究中受益,因为这项研究旨在确定当前的家庭护理是否能够满足老年人的需求,并确定可能有机会发展正式的家庭长期护理的领域。最后,本研究将通过让农村老年人及其家庭成员参与各种传播活动以及与政策制定者和其他相关方的对话来使他们受益。这项研究将采用复杂的计量经济学方法,例如集中指数、工具变量 (IV) 和各种其他模拟模型。数据将来自中国健康与退休追踪研究(CHARLS)。这项研究建立在我从之前的工作中开发的健康不平等研究的初步定量技能(例如集中指数和面板数据回归)的基础上,并辅以未来研究领袖计划提供的培训机会(例如高级定量课程和各种知识交流研讨会)。该计划将使我能够提供强有力的基于证据的政策研究,从而影响政策。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Initial Analysis of the Effects of a Long-Term Care Insurance on Equity and Efficiency: A Case Study of Qingdao City in China.
- DOI:10.1177/0164027520907346
- 发表时间:2021-03
- 期刊:
- 影响因子:2.6
- 作者:Yang W;Chang S;Zhang W;Wang R;Mossialos E;Wu X;Cui D;Li H;Mi H
- 通讯作者:Mi H
Understanding non-medical costs for health care: Evidence from inpatient care for older people in China
了解医疗保健的非医疗成本:来自中国老年人住院护理的证据
- DOI:
- 发表时间:2019
- 期刊:
- 影响因子:2.5
- 作者:Wei Yang
- 通讯作者:Wei Yang
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Wei Yang其他文献
The Development of Tissue Engineering Skin
组织工程皮肤的研究进展
- DOI:
10.1360/n052014-00276 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Wei Yang;Z. Cui - 通讯作者:
Z. Cui
High areal capacity flexible sulfur cathode based on multi-functionalized super-aligned carbon nanotubes
基于多功能超排列碳纳米管的高面积容量柔性硫阴极
- DOI:
10.1007/s12274-019-2356-1 - 发表时间:
2019 - 期刊:
- 影响因子:9.9
- 作者:
Jia Lujie;Wang Jian;Chen Zijin;Su Yipeng;Zhao Wei;Wang Datao;Wei Yang;Jiang Kaili;Wang Jiaping;Wu Yang;Li Jia;Duan Wenhui;Fan Shoushan;Zhang Yuegang - 通讯作者:
Zhang Yuegang
Diffuse Reflectance Distribution for Different Source Approximations
不同光源近似值的漫反射率分布
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
X. Zhang;Yan Li;Wen;Wei Yang - 通讯作者:
Wei Yang
Driver pre-accident behavior pattern recognition based on dynamic radial basis function neural network
基于动态径向基函数神经网络的驾驶员事故前行为模式识别
- DOI:
10.1109/tmee.2011.6199209 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Jianqiang Gong;Wei Yang - 通讯作者:
Wei Yang
Race modifies the association between adiposity and inflammation in patients with chronic kidney disease: Findings from the chronic renal insufficiency cohort study: Adiposity and Inflammation
种族改变了慢性肾病患者肥胖与炎症之间的关联:慢性肾功能不全队列研究的结果:肥胖与炎症
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
M. Wing;Wei Yang;V. Teal;S. Navaneethan;Kaixiang Tao;A. Ojo;Nicolas N. Guzman;M. Reilly;Melanie Wolman;S. Rosas;Magda Cuevas;Michael J. Fischer;E. Lustigova;S. Master;D. Xie;D. Appleby;M. Joffe;J. Kusek;H. Feldman;D. Raj - 通讯作者:
D. Raj
Wei Yang的其他文献
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{{ truncateString('Wei Yang', 18)}}的其他基金
Collaborative Research: CCRI: Planning-C: An Infrastructure and Dataset for Research in Android Testing & Analysis
合作研究:CCRI:Planning-C:Android 测试研究的基础设施和数据集
- 批准号:
2235137 - 财政年份:2023
- 资助金额:
$ 34.29万 - 项目类别:
Standard Grant
CAREER: Enhancing Deep-Learning-based Code Analyses via Human Intelligence
职业:通过人类智能增强基于深度学习的代码分析
- 批准号:
2146443 - 财政年份:2022
- 资助金额:
$ 34.29万 - 项目类别:
Continuing Grant
EAGER: Free Energy Sampling of Biomolecular Dynamics at Biological Timescales
EAGER:生物时间尺度上生物分子动力学的自由能采样
- 批准号:
1839694 - 财政年份:2018
- 资助金额:
$ 34.29万 - 项目类别:
Standard Grant
Who will care for you when you get old? A study of inequities in health and long-term care among the elderly in rural China
当你老了谁来照顾你?
- 批准号:
ES/N002717/2 - 财政年份:2016
- 资助金额:
$ 34.29万 - 项目类别:
Research Grant
Achieving Long Timescale Sampling in Biomolecular Simulations
在生物分子模拟中实现长时间尺度采样
- 批准号:
1158284 - 财政年份:2012
- 资助金额:
$ 34.29万 - 项目类别:
Standard Grant
Achieving Long Timescale Sampling in Biomolecular Simulations
在生物分子模拟中实现长时间尺度采样
- 批准号:
0919983 - 财政年份:2009
- 资助金额:
$ 34.29万 - 项目类别:
Standard Grant
A Workshop in Plasticity and Commemorative Volume in Honor of Professor E.H. Lee
可塑性研讨会及纪念E.H.教授纪念册
- 批准号:
9019931 - 财政年份:1990
- 资助金额:
$ 34.29万 - 项目类别:
Standard Grant
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