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http://dx.doi.org/10.1177/10105395251343405 | DOI Listing |
Front Public Health
May 2025
School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Background: The Diagnosis-Intervention Packet Payment (DIP) system is regarded as a localized cost-control strategy in China. It aims to improve healthcare efficiency, curb the growth of medical expenses, and optimize the allocation of medical resources among diverse groups.
Objective: This study aims to assess the impact of DIP payment reforms on differential changes in patients' hospitalization expense and to explore the degree of concentration of hospitalization expense for patients with different insurance schemes undergoing treatment for typical diseases, with a view to providing policy recommendations for improving the medical insurance system.
Front Public Health
May 2025
School of Economics and Management, Qilu Normal University, Jinan, Shandong, China.
Introduction: Unlocking the consumption potential of rural residents and narrowing the consumption gap is crucial for expanding domestic demand and enhancing social equity. This study examined how integrating Urban-Rural Residents Medical Insurance (URRMI) affected consumption inequality among rural residents and its underlying mechanisms.
Methods: We analyzed 17,092 observations from the China Family Panel Studies (CFPS) 2012-2018.
Asia Pac J Public Health
May 2025
Xi'an University of Architecture and Technology, Xi'an, China.
BMJ Open
April 2025
Research Center of Public Policy and Management, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, China
Objectives: In the context of demographic structure and disease spectrum changes: to study the role of the medical insurance system in providing protection and risk resilience for middle-aged and elderly vulnerable groups who are prone to impoverishment by medical expenses (IME), identify the vulnerable points and propose recommendations for improving the medical insurance system.
Setting: The research used data from the 2018 China Health and Retirement Longitudinal Study.
Participants: 9184 households were included in the research ultimately.
Objective: This study aimed to investigate the health performance of the Urban and Rural Residents Medical Insurance (URRMI) scheme in China and to make practical recommendations and scientific references for its full implementation in China.
Methods: This is a panel study that uses data from the China Family Panel Studies from 2018 to 2020, which is separated into treated and control groups each year, utilizing the key approach of propensity score matching and difference-in-difference (PSM-DID). Using 1-to-1 k-nearest neighbor matching, we proportionate the baseline data.