How do inpatients’ costs, length of stay, and quality of care vary across age groups after a new case-based payment reform in China? An interrupted time series analysis

Author:

Chen Ya-jing,Zhang Xin-yu,Tang Xue,Yan Jia-qi,Qian Meng-cen,Ying Xiao-hua

Abstract

Abstract Context A patient classification-based payment system called diagnosis-intervention packet (DIP) was piloted in a large city in southeast China in 2018. Objective This study evaluates the impact of DIP payment reform on total costs, out-of-pocket (OOP) payments, length of stay (LOS), and quality of care in hospitalised patients of different age. Methods An interrupted time series model was employed to examine the monthly trend changes of outcome variables before and after the DIP reform in adult patients, who were stratified into a younger (18–64 years) and an older group (≥ 65 years), further stratified into young-old (65–79 years) and oldest-old (≥ 80 years) groups. Results The adjusted monthly trend of costs per case significantly increased in the older adults (0.5%, P = 0.002) and oldest-old group (0.6%, P = 0.015). The adjusted monthly trend of average LOS decreased in the younger and young-old groups (monthly slope change: -0.058 days, P = 0.035; -0.025 days, P = 0.024, respectively), and increased in the oldest-old group (monthly slope change: 0.107 days, P = 0.030) significantly. The changes of adjusted monthly trends of in-hospital mortality rate were not significant in all age groups. Conclusion Implementation of the DIP payment reform associated with increase in total costs per case in the older and oldest-old groups, and reduction in LOS in the younger and young-old groups without deteriorating quality of care.

Funder

the National Natural Science Foundation (NSFC) of China

National Healthcare Security Research Center of Capital Medical University

Publisher

Springer Science and Business Media LLC

Subject

Health Policy

Reference34 articles.

1. National Health Commission of the People's Republic of China. China Health Statistics Yearbook 2020. http://www.nhfpcgovcn/zwgkzt/tjnj/listshtml. Accessed 23 Sept 2020.

2. Getzen TE. Population Aging and the Growth of Health Expenditures. J Gerontol. 1992;347(3):S98-104.

3. Population Division of Department of Economic and Social Affairs of United Nations Secretariat. World Population Outlook: 2008 Revision. http://esaunorg/unpp.

4. Wang C, Li F, Wang L, Zhou W, Jin C. The impact of population aging on medical expenses: A big data study based on the life table. Biosci Trends. 2017;11(6):619.

5. Hyjm A, Xl B, Qlxcd E, Shu C, Wu MC. The association between frailty and healthcare expenditure among Chinese older adults. J Am Med Dir Assoc. 2020;21(6):780–5.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3