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流动人口卫生服务利用及影响因素的多水平logistic回归模型分析 被引量:32

Analysis on Multilevel Logistic Regression Model of the Utilization of Health Services for Migrant Population and Influencing Factors
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摘要 目的:了解流动人口卫生服务利用情况及其影响因素,为制定流动人口卫生服务利用方面的政策提供参考依据。方法:利用2013年全国流动人口动态监测数据、采用多水平logistic回归模型,对流动人口卫生服务利用及影响因素进行分析。结果:流动人口在流出地参加新型农村合作医疗的比例为67.23%,在流入地参加的比例为20.81%;在同一调查点,流动人口卫生服务利用存在组内聚集性(ICC=0.21,P<0.001);多水平logistic回归分析发现性别、婚姻状况、流入当地时间、每天工作时间、当地有无医疗保险是影响流动人口卫生服务利用的主要因素。结论:流动人口在流入地医疗保障及卫生服务利用水平较低,应不断完善流动人口医疗保障体系,以提高流动人口卫生服务利用水平。 Objective:To investigate the utilization of health services for migrant population and the influencing factors, so as toprovide references for designing policy for migrant population's health services.Methods:The data of'2013 floating population sur-veillance survey' and the multilevel logistic regression model were used to analyze the associated factors of public health services formigrant population.Results:The proportion of migrant population joining in the new rural cooperative medical system in outflow areasand medical insurance in inflow areas were 67.23 and 20.81% respectively; there was intra-class clustering for the utilization ofhealth services in the same survey field(ICC=0.21, P<0.001); multilevel logistic regression indicated that the gender, marriage status,working span, working time every day and whether had local medical insurance were significantly associated with the utilization ofhealth services.Conclusion:The level of joining local medical insurance and the utilization of health services among floating popula-tion was relatively low, which needed to implement medical insurance system for migrant population so as to improve health serviceutilization level of migrant population.
出处 《中国卫生经济》 北大核心 2015年第3期50-52,共3页 Chinese Health Economics
基金 2014年北京市社会科学研究基金(14SHB019)
关键词 流动人口 卫生服务利用 多水平logistic模型 影响因素 floating population health service utilization multilevel logistic regression model influencing factor
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