BackgroundMedical reimbursement in China is not for all diseases, and medical reimbursement expenses are not completely consistent with medical service demand, though the scope and proportion of medical reimbursement are gradually expanding. This study aimed to examine the effect of retirement on medical reimbursement expenses in urban China.MethodsThe effect of retirement on medical reimbursement expenses were estimated by using fuzzy regression discontinuity based on data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, 2015, and 2018. Its group heterogeneity by educational backgrounds and marital status, and underlying mechanisms were also explored.ResultsRetirement increased medical reimbursement expenses of outpatient significantly (P < 0.05).Low time cost and deteriorating health status after retirement were possible mechanisms in this association. Retirement increased the reimbursement expenses significantly among the older adults with more educational obtainment or being widowed/divorced.ConclusionThe above findings indicated that there was a positive association between retirement and medical reimbursement expenses. The scope and proportion of medical reimbursement should be incorporated into retirement policy for improving medical service accessibility and rational healthcare utilization of retired population.
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Chinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Xie, Lin
Wu, Yuan-yang
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Zhongnan Univ Econ & Law, Sch Publ Adm, Donghu New Technol Dev Zone, 182 Nanhu Ave, Wuhan 430073, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Wu, Yuan-yang
Shen, Ying-xi
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Zhongnan Univ Econ & Law, Sch Publ Adm, Donghu New Technol Dev Zone, 182 Nanhu Ave, Wuhan 430073, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Shen, Ying-xi
Zhang, Wen-chao
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Zhongnan Univ Econ & Law, Sch Publ Adm, Donghu New Technol Dev Zone, 182 Nanhu Ave, Wuhan 430073, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Zhang, Wen-chao
Zhang, An-qi
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Shanghai Univ Finance & Econ, Sch Publ Econ & Management, Shanghai 100028, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Zhang, An-qi
Lin, Xue-yu
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Zhongnan Univ Econ & Law, Sch Publ Adm, Donghu New Technol Dev Zone, 182 Nanhu Ave, Wuhan 430073, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Lin, Xue-yu
Ti, Shi-ming
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Zhongnan Univ Econ & Law, Sch Publ Adm, Donghu New Technol Dev Zone, 182 Nanhu Ave, Wuhan 430073, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Ti, Shi-ming
Yu, Yi-tong
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Zhongnan Univ Econ & Law, Sch Publ Adm, Donghu New Technol Dev Zone, 182 Nanhu Ave, Wuhan 430073, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China
Yu, Yi-tong
Yang, Hua-lei
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Zhongnan Univ Econ & Law, Sch Publ Adm, Donghu New Technol Dev Zone, 182 Nanhu Ave, Wuhan 430073, Peoples R ChinaChinese Acad Social Sci, Inst Populat & Labor Econ, Beijing 100028, Peoples R China