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基于Ordinal logistic回归的陕西省某县新农合大病补助满意度影响因素研究 被引量:1

Study on satisfaction influencing factors of the Catastrophic Disease Insurance of New Rural Cooperative Medical Scheme based on Ordinal logistic regression in a county of Shaanxi Province
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摘要 目的了解陕西省某县新农合大病补助满意度情况,探讨其影响因素。方法采用分层整群随机抽样方法,选取4个行政村进行问卷调查。应用SPSS16.0统计软件进行单因素和多因素分析,建立Ordinal logistic回归模型探讨参合农民对新农合大病补助满意度的影响因素。结果 86.2%(647/751)的参合者对大病补助制度满意,按影响力由大到小排序后的5个影响因素依次是:大病补助范围、大病报销比例、医院技术水平、政策宣传和年龄。结论陕西省某县参合农民对本地实行的新农合大病补助制度满意度较高,但仍可通过合理扩大补助范围、提高报销比例、提升定点医院技术水平、加强相应政策的宣传来进一步提高。 Objective To understand the satisfaction situation of the Catastrophic Disease Insurance of New Rural Cooperative Medical Scheme and to investigate its influencing factors. Methods The stratifying cluster random sampling method was adopted to conduct the questionnaire survey on 4 selected administrative villages. The SPSS16.0 software was used to conduct the univariate and multivariate analysis. The Ordinal Logistic regression model was established for investigating the influencing factors of satisfaction of the participating peasants on the Catastrophic Disease Insurance of New Rural Cooperative Medical Scheme. Results Totally 82.6% (647/751 ) of participants satisfied on this serious illness subsidy system. The 5 influencing factors according to the influence order were in turn the subsidy range, reimbursement proportion, technical level of designated hospital, policy propaganda and age. Conclusion The participating peasants in a county of Shaanxi Province have higher satisfaction on the Catastrophic Disease Insurance of New Rural Cooperative Medical Scheme ,but which could be still further elevated by rationally enlarging the subsidy range, increasing the reimbursement proportion, promoting the technical level of designated hospital and strengthening the policy publicity.
出处 《现代医药卫生》 2016年第5期656-659,共4页 Journal of Modern Medicine & Health
基金 陕西省卫生计生委横向课题项目(12N01) 西安医学院2012年校级课题项目(12FZ25)
关键词 抽样研究 Logistic模型 软件 自动数据处理 农村人口 大病补助 新农合 Sampling studies Logistic models Software Automatic data processing Rural population Catastrophic disease insurance New Rural Cooperative Medical Scheme
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