参加新型农村合作医疗农村贫困人口和非贫困人口卫生服务利用的调查研究

目的通过对榆树市贫困与非贫困农民新型农村合作医疗（简称新农合）参加情况、利用情况、花费情况、住院费用和补偿情况进行比较分析,为评价新农合的实施效果和完善新农合制度提供科学依据。方法采用分层随机抽样的方法抽取3个乡镇143 322人,通过当地民政部门获取该3个乡镇的贫困人口名单,通过新农合管理系统获取该3个乡镇的就医情况,比较分析农村贫困人口和非贫困人口新农合利用、花费和补偿情况。结果贫困人口门诊就诊率低于非贫困人口,住院率高于非贫困人口,其差异均有统计学意义（P〈0.05）。贫困参合人口门诊及慢性病就诊人数所占比例均较非贫困人口低,差异均有统计学意义（P〈0.05）。贫困和非贫困参合人口门诊的次均费用和次均补偿金额比较差异均有统计学意义（P〈0.05）;两组人口住院次均费用和住院费用比较差异均无统计学意义（P〉0.05）;在慢性病方面,贫困组和非贫困组人口次均费用和次均补偿比较差异均无统计学意义（P〉0.05）。两组人口中住院患者住院天数和在三个级别医院分布情况比较差异有统计学意义（P〈0.05）。结论在制定相关贫困人口医疗救助政策时,应加大对高龄、丧偶这部分人群的补偿力度。

Survey on and Non-poor Health Services Utilization of Poor and Non-poor Group Participate in the New Rural Cooperative Medical System

OBJECTIVE Through the analysis of Yushu＇s poverty and non-poverty farmers participate in the New Rural Cooperative Medical System（NCMS）to, utilization, case costs, hospitalization costs and compensation to conduct a comparative analysis for the implementation evaluation of NCMS effects and provide a scientific basis to improve. METHODS Use stratified random sampling method to extract 143 322 people in 3 townships, through local civil affairs departments to get the 3 towns＇ poor list, through NCMS medical management system to obtain the 3 townships doctor consultation, and comparative analysis of poverty and non-poor NCMS utilization, costs and compensation cases. RESULTS Outpatient poverty rate is lower than the non-poor, hospitalization is higher than the non-poor, and the differences were statistically significant（P0.05）. The number of outpatient poverty and visits chronic disease is lower than the non- poor, and the difference was statistically significant（ P 0. 05）. Comparing the cost of the medical care and the amount of compensation of poverty and non-poor farmer participation outpatient, and the differences were statistically significant（ P0.05）; the cost of the medical care and the compensation amount of two farmer groups hospitalization fees and hospital costs were not statistically significant different（P0.05）; for chronic diseases, the cost of the medical care and the compensation amount of poverty and non- poverty groups, the differences were not statistically significant（P0.05）. Comparing the inpatient, hospital stays and the distribution of three level hospitals of two groups of farmers, the difference was statistically significant（P0.05）. CONCLUSION While designing medical assistant policy for relevant poor people, it needs to increase compensation to advanced age and widowed groups.