| 引用本文：赵紫荆, 胡以松.我国青少年参加医疗保险现况及影响因素研究——基于中国教育追踪调查(CEPS)的证据[J].中国卫生政策研究,2019,12(8):62-69 |
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| 我国青少年参加医疗保险现况及影响因素研究——基于中国教育追踪调查(CEPS)的证据 |
| 投稿时间：2019-02-12 修订日期：2019-06-14 PDF全文浏览 HTML全文浏览 |
| 赵紫荆1, 胡以松2 |
1. 中国人民大学劳动人事学院 北京 100872;
2. 中国人民大学统计学院 北京 100872 |
| 摘要:目的：分析我国青少年医疗保险现况及相关影响因素，并探讨流动和非流动青少年参保影响因素的差异。方法：利用中国教育追踪调查2013—2014年基线调查数据，并基于Andersen医疗服务使用行为模型，利用多因素线性概率模型探讨了青少年参加医疗保险的影响因素，以及流动和非流动青少年影响因素的差异。结果：2013—2014年，我国青少年医疗保险的参加率为86.5%，其中只参加社会医疗保险、只参加商业医疗保险、同时参加社会和商业保险的比例分别为48.2%、24.8%、13.5%。没有参加医疗保险的青少年为13.5%，流动和非流动青少年分别为19.3%和12.1%。多因素分析显示，家庭经济状况、父母最高教育水平与青少年参保概率成正相关（P<0.05）。年龄和流动状态与青少年参保概率呈负相关（P<0.05）；与农业户口相比，非农户口和居民户口的青少年参保概率低（P<0.05）。结论：我国青少年医保覆盖率有待进一步提高，尤其是流动青少年更需要引起重视。 |
| 关键词:医疗保险 青少年 影响因素 流动状态 |
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| Current status of adolescents' health insurance participation and its influencing factors in China: Evidence based on Chinese Education Panel Survey |
| ZHAO Zi-jing1, HU Yi-song2 |
1. School of Labor and Human Resources, Renmin University of China, Beijing 100872, China;
2. School of Statistics, Renmin University of China, Beijing 100872, China |
| Abstract:Objectives:To analyze the current status of adolescents' health insurance participation and its risk factors in China, and explore their differences between floating and local adolescents. Methods:Using the 2013-2014 baseline data of China Education Panel Survey (CEPS), and based on Andersen's behavioral model of health services use, multivariable linear probability model was used to analyze the influential factors for the adolescents' health insurance participation in China, and their differences between floating and local adolescents as well. Results:In 2013-2014, the total health insurance participating rate was 86.5% including 48.2% public insurance only, 24.8% private insurance only and 13.5% double coverage of public and private insurance among Chinese adolescents, respectively. The proportion of adolescents who did not participate in the medical insurance was 13.5%, whereas the rate was 19.3% in floating and 12.1% in local adolescents. The multivariate analysis showed that family economic status and the highest education level of parents were associated with the adolescents' health insurance participating rate and showed a positive correlation coefficient (P<0.05). Adolescents' age and mobility status were negatively correlated with the probability of adolescents' health insurance participation (P<0.05). Compared with rural Hukou, adolescents with non-rural or citizen Hukou had lower rate of health insurance participation (P<0.05). Conclusions:The adolescents' health insurance coverage rate needs to be further improved among Chinese adolescents, especially in the floating population of youthful. |
| Key words:Health insurance Adolescents Influencing factors Floating status |
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