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Care providers, access to care, and the Long-term Care Nursing Insurance in China

An agent-based simulation

Bibliographic Data

ID4596936
AuthorsShuang Chang (0000-0003-4250-5106, Tokyo Institute of Technology), Wei Yang (0000-0001-7249-4386, King's College London, corresponding author), Hiroshi Deguchi (0000-0002-7721-1207, Tokyo Institute of Technology)
Year2020
Volume244
Pages112667
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2019.112667
PMID31734601
OpenAlexW2986440601
LanguageEN
Citations received14
References cited21

China piloted a publicly funded Long-term Care Nursing Insurance (LTCNI) with an aim to improve access to long-term care (LTC) for older people in China in 2012. Existing studies showed that the scheme has been successful in meeting some goals, but little is known on how the availability, price and quality of the local care providers affect access to care. Using an Agent-based Modelling approach, this paper simulates the effects of the LTCNI on access to care by considering quality, costs and availability of the local care providers. Our simulation is based on Qingdao city-the first city in China that piloted the LTCNI. We found considerable discrepancies in terms of access to services among the LTCNI beneficiaries. The poor are more likely to choose nursing home care with low costs albeit these services may be of poor quality. The demand for home-based services is high, but these services are not distributed according to population needs and are not available in some districts with high concentration of older people. Consequently, a large proportion of disabled older people have no access to home-based services. We urge policy makers to improve the benefit package of the LTCNI, especially for the poor. We also suggest that more resources should be directed to promote and improve the availability of home-based services in areas with a large number of older people

Actuarial science · Business · China · Economic growth · Economics · Health care · Health insurance · Political science · Term (time · Gender, Labor, and Family Dynamics · Intergenerational Family Dynamics and Caregiving · Medicine · Nursing · Transportation and Mobility Innovations

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Unique citing works14
Citations per year2,33
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 14

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