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Impact of medical insurance integration on reducing urban-rural health disparity

Evidence from China

Bibliographic Data

ID4600890
AuthorsY X Tang (Waseda University, corresponding author), Yingqian Tang, Rong Fu (0000-0002-2850-1697, Waseda University), Harkuo Noguchi (0000-0002-4437-8238, Waseda University), Haruko Noguchi
Year2024
Volume357
Pages117163
Publication date2024-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2024.117163
PMID39121565
OpenAlexW4401297668
LanguageEN
Citations received14
References cited29

The urban-rural health disparity poses a significant challenge for countries worldwide. China encounters substantial disparities in healthcare services and health outcomes between urban and rural regions. In 2015, the Chinese government integrated the medical insurance schemes for urban and rural residents into a unified program, with the goal of mitigating the disparities and enhancing the sustainability and efficiency of the medical insurance system. Using data from the China Health and Retirement Longitudinal Study (CHARLS), we explored the impact of this integration on health outcomes and the health disparity between urban and rural residents, employing a triple difference approach with propensity score matching. We found that both urban and rural residents benefited from the medical insurance reform, experiencing improvements in their health outcomes to some extent. Urban residents reported better self-reported health, while rural residents exhibited improved health in terms of both self-reported health and number of diagnosed diseases. Notably, the disparity in activities of daily living (ADL) difficulties decreased. However, we also observed a worsening trend in ADL difficulties, especially among the elderly and the working population. This underscores the urgent need for further attention to health behaviors and healthcare resource allocation to these socio-demographic groups

Business · China · Economic growth · Economics · Environmental health · Geography · Government (linguistics · Health care · Health equity · Longitudinal study · Propensity score matching · Public health · Rural health · Socioeconomics · Global Health Care Issues · Health disparities and outcomes · Healthcare Systems and Reforms · Medicine · Nursing · Gerontology · Health Policy

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Unique citing works14
Citations per year7
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 14

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