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Medical insurance and health equity in health service utilization among the middle-aged and older adults in China: a quantile regression approach

机译:中国中年和老年人卫生服务利用的医疗保险和健康股权:量级回归方法

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BACKGROUND:China has achieved nearly universal coverage of the Social Basic Medical Insurance (SBMI), which aims to reduce the disease burden and improve the utilization of health services. We investigated the association between China's health insurance schemes and health service utilization of middle-aged and older adults at different quantiles, and then explored whether the SBMI could help reduce the underutilization of health services among the middle-aged and older adults in China.METHODS:Survey data of middle-aged and older adults were drawn from the China Health and Retirement Longitudinal Study (CHARLS). A linear quantile mixed regression model was utilized to provide a comprehensive understanding of the relationship between SBMI and health service utilization, which was measured by the total medical expenditure. We took the New Rural Cooperative Medical Scheme (NCMS) as the reference level and examined the associations of the Urban Employee Basic Medical Insurance (UEBMI) and the Urban Resident Basic Medical Insurance (URBMI) with health service utilization.RESULTS:The quantile regression analysis revealed a significant positive association between URBMI and health service utilization at the 0.75 (β?=?1.608, p??0.01), 0.8 (β?=?1.578, p??0.01), 0.85 (β?=?1.473, p??0.01), 0.9 (β?=?1.403, p??0.01) and 0.95 (β?=?1.152, p??0.01) quantiles, and also a significant positive association between UEBMI and health service utilization at the 0.85 (β?=?1.196, p??0.01), 0.9 (β?=?1.070, p??0.01) and 0.95 (β?=?0.736, p??0.01) quantiles. Results showed that URBMI was significantly associated with an improvement in inpatient health service utilization of the middle-aged and older adults, and a significant positive association between UEBMI and inpatient health service utilization was observed at 0.1 (β?=?0.559, p??0.01), 0.25 (β?=?0.420, p??0.05), 0.5 (β?=?0.352, p??0.05), and 0.75 (β?=?0.306, p??0.05) quantiles.CONCLUSIONS:Inequity in health service utilization exists among the middle-aged and older adults across urban and rural Chinese areas, and it can be explained by the different reimbursement benefits of SBMI types.
机译:背景:中国已经实现了近乎普遍的社会基本医疗保险(SBMI)的覆盖范围,旨在降低疾病负担,提高卫生服务的利用。我们调查了中国健康保险计划与卫生服务利用的协会,在不同量级的中年和老年人的利用,然后探讨了SBMI是否有助于减少中国中年和老年人的卫生服务的未充分利用。方法:来自中国健康和退休纵向研究(Charls)的中年和老年人的调查数据。利用线性定量化混合回归模型来全面了解SBMI和卫生服务利用率之间的关系,由总医疗支出衡量。我们将新的农村合作医疗计划(NCMS)作为参考水平,并审查了与卫生服务利用率的城市员工基本医疗保险(UEBMI)和城市常驻基本医疗保险(URBMI)的协会。结果:分位数回归分析在0.75(β=α= 1.608,p≤0.1.01),0.8(β≤1.578,p≤0.01),0.85(β≤0.3),0.85(β?0.1),0.85(β≤x≤1.578)之间,揭示了urbmi和健康服务利用率之间的显着正相关性。 ,p?<0.01),0.9(β?=?1.403,p?<0.01)和0.95(β?=?1.152,P?<0.01)定量,以及UEBMI和健康服务之间的显着正相关利用0.85(β=α1.196,p?<β01),0.9(β?=Δ1.070,p≤≤0.01)和0.95(β?= 0.736,p?<Δ0.01)定量。结果表明,URBMI与中年和老年人的住院健康服务利用的改善有显着相关,并且在0.1(β= 0.559,P?<)中观察到UEBMI和住院健康服务利用之间的显着正相关性。(β= 0.559,P?< ?0.01),0.25(β=Δ0.420,p≤0.05),0.5(β=〜0.352,p?<0.05),0.75(β?= 0.306,p?<Δ05)定量.Conclusions:卫生服务的不公平利用,中年和农村中国地区的中年成年人都存在,可以通过SBMI类型的不同报销益处来解释。

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