Suppr超能文献

中国卫生支出增长的主要驱动因素:分解分析

Main drivers of health expenditure growth in China: a decomposition analysis.

作者信息

Zhai Tiemin, Goss John, Li Jinjing

机构信息

Centre for Research & Action in Public Health, Health Research Institute, University of Canberra, 2601, Canberra, ACT, Australia.

Department of National Health Accounts and Policy Studies, China National Health Development Research Centre, Beijing, 100191, China.

出版信息

BMC Health Serv Res. 2017 Mar 9;17(1):185. doi: 10.1186/s12913-017-2119-1.

Abstract

BACKGROUND

In past two decades, health expenditure in China grew at a rate of 11.6% per year, which is much faster than the growth of the country's economy (9.9% per year). As cost containment is a key aspect of China's new health system reform agenda, this study aims to identify the main drivers of past growth so that cost containment policies are focussed in the right areas.

METHOD

The analysis covered the period 1993-2012. To understand the drivers of past growth during this period, Das Gupta's decomposition method was used to decompose the changes in health expenditure by disease into five main components that include population growth, population ageing, disease prevalence rate, expenditure per case of disease, and excess health price inflation. Demographic data on population size and age-composition were obtained from the Department of Economic and Social Affairs of the United Nations. Age- and disease- specific expenditure and prevalence rates by age and disease were extracted from China's National Health Accounts studies and Global Burden of Disease 2013 studies of the Institute for Health Metrics and Evaluation, respectively.

RESULTS

Growth in health expenditure in China was mainly driven by a rapid increase in real expenditure per prevalent case, which contributed 8.4 percentage points of the 11.6% annual average growth. Excess health price inflation and population growth contributed 1.3 and 1.3% respectively. The effect of population ageing was relatively small, contributing 0.8% per year. However, reductions in disease prevalence rates reduced the growth rate by 0.3 percentage points.

CONCLUSION

Future policy in optimising growth in health expenditure in China should address growth in expenditure per prevalent case. This is especially so for neoplasms, and for circulatory and respiratory disease. And a focus on effective interventions to reduce the prevalence of disease in the country will ensure that changing disease rates do not lead to a higher growth in future health expenditure; Measures should be taken to strengthen the capacity of health personnel in grass-roots facilities and to establish an effective referral system, so as to reduce the growth in expenditure per case of disease and to ensure that excess health price inflation does not grow out of control.

摘要

背景

在过去二十年中,中国的卫生支出以每年11.6%的速度增长,这比该国经济增长速度(每年9.9%)快得多。由于成本控制是中国新卫生体系改革议程的关键方面,本研究旨在确定过去增长的主要驱动因素,以便将成本控制政策集中在正确的领域。

方法

分析涵盖1993 - 2012年期间。为了解该时期过去增长的驱动因素,采用达斯古普塔分解法将按疾病分类的卫生支出变化分解为五个主要组成部分,包括人口增长、人口老龄化、疾病患病率、每种疾病病例的支出以及过度的卫生价格通胀。关于人口规模和年龄构成的人口数据来自联合国经济和社会事务部。按年龄和疾病分类的特定年龄和疾病的支出及患病率分别从中国国民卫生账户研究以及健康指标与评估研究所的《2013年全球疾病负担》研究中提取。

结果

中国卫生支出的增长主要由每例现患病例实际支出的快速增加推动,这在每年11.6%的平均增长率中贡献了8.4个百分点。过度的卫生价格通胀和人口增长分别贡献了1.3%和1.3%。人口老龄化的影响相对较小,每年贡献0.8%。然而,疾病患病率的下降使增长率降低了0.3个百分点。

结论

中国未来优化卫生支出增长的政策应解决每例现患病例支出的增长问题。对于肿瘤以及循环系统和呼吸系统疾病尤其如此。并且关注有效的干预措施以降低该国疾病的患病率将确保疾病率的变化不会导致未来卫生支出更高的增长;应采取措施加强基层医疗机构卫生人员的能力并建立有效的转诊系统,以减少每种疾病病例的支出增长并确保过度的卫生价格通胀不会失控。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0504/5343399/11978f539a17/12913_2017_2119_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验