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作 者:李志芳[1] 杨建洲[1] 李奇[2] 纪爱芳[3] 冯向先[1]
机构地区:[1]长治医学院预防医学系流行病与卫生统计学教研室,046000 [2]长治医学院临床医学系 [3]长治医学院中心实验室
出 处:《长治医学院学报》2016年第5期342-345,共4页Journal of Changzhi Medical College
基 金:山西省高等学校大学生创新创业训练项目(2014298)
摘 要:目的:通过研究2010—2013年农民新农合参合率、住院率、补偿比和负担比等指标变化情况及常见慢性病的患者住院服务利用情况,发现当前存在的问题,为新农合制度的进一步改革提供科学依据。方法:将2010—2013年期间参合住院农民报销的原始资料整理录入数据库。采用SPSS18.0软件,对住院人次、住院费用、药物费用、补偿比和负担比等指标进行统计描述性,2组或多组间比较采用H检验、χ2检验等。结果:2010—2013年,研究地参合率从96.71%提高到99.41%,基本实现全覆盖;参合农民住院人次逐年提高,次均补偿比由47.13%增加到55.12%,次均住院负担比由48.41%降低到45.02%,药费比从41.51%下降到36.60%;恶性肿瘤次均住院费用最高。结论:研究地新农合基本实现全覆盖,参合农民住院服务利用率逐年提高,住院补偿比逐年增加,但负担比仍旧沉重,尤其是恶性重大疾病和慢性病负担比最为明显。Objective:To learn the participation rate,hospitalization rates,compensation rate,burden rate of the new rural cooperative medical and the hospital service utilization of several kind chronic diseases from 2010 to 2013,and find the existing problems to provide scientific basis for the reform of the new type of rural cooperative medical care system.Methods:The original data of the new rural coop-erative medical reimbursement were cleaned up and typed in database from 2010 to 2013.The data of hospital visits,hospitalization expenses,compensation rate and burden rate were descriptive analysis and the comparison between the groups wereχ2 and H test by SPSSl8.0 software.Results:From 2010 to 2013,the participation rate of the new rural cooperative medical increased from 96.71% to 99.41%,this rate had basically gained a full coverage among the local agricultural population.The hospitalization rate increased by years;the compensation rate increased from 47.13% to 55.12%,the burden rate decreased from 48.41% to 45.02%,the rate of drug cost decreased from 41.51% to 36.60%,the hospitalization expenses of malignant tumor was highest.Conclusion:The participation rate basically gained a full coverage among the local population,the hospitalization rates and the compensation rate increased by years,but the burden rate still was quiet serious,especially the malignant disease and chronic disease burden is the most obvious.
分 类 号:R195[医药卫生—卫生统计学]
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