我国县级疾病预防控制中心效率影响因素的多水平分析  

Influencing factors on the efficiency of county-level centers for disease control and prevention in China via multilevel modeling

作　　者：武娜娜[1,2] 李程跃[1,2] 胡敏 励晓红[1,2] 李晓姣[1,2] 姜立文[1,2] 郝模[1,2] 

机构地区：[1]复旦大学卫生发展战略研究中心,上海200032 [2]健康风险预警治理协同创新中心,上海200032 [3]复旦大学公共卫生学院,上海200032

出　　处：《中国卫生政策研究》2015年第5期73-78,共6页Chinese Journal of Health Policy

基　　金：国家自然科学基金(71373004;71303058);教育部人文社会科学研究青年基金(12YJCZH100);教育部创新团队项目(IRT_13R11)

摘　　要：目的:探讨我国县级疾病预防控制中心(简称"疾控中心")效率的影响因素。方法:全国系统抽样选取458个县级样本疾控中心,运用多水平模型对2012年数据进行分析,明确区域层面(高水平)和机构层面(低水平)因素对机构效率的影响。结果:我国县级疾控中心的效率在省份间存在聚集性,区域层面的人口密度对机构效率存在影响,机构层面中卫生技术人员比例、人均服务收入、人均实验室面积对效率有显著影响。结论:区域层面和机构层面的因素均对效率产生影响,多水平模型有助于全面认识我国疾控中心效率的影响因素。Objective： To examine the influencing factors of the efficiency of county-level centers for disease control and prevention （ CDCs） in China. Methods：458 county-level CDCs were selected based on a systematic sam-pling method. Multilevel modeling was used to analyze the region-level and institution-level influencing factors affect-ing the efficiency of CDCs. Results： It was found that the region （ province） is associated with the efficiency of a CDC. The region-level factor of population density exhibited a significant influence, while the institution-level factors such as the proportion of health technicians, service income and CDC laboratories per capita also had an influence on overall efficiency. Conclusions： Both the region-level and institution-level determinants influence efficiency. Multi-level modeling can help researchers gain a comprehensive understanding of the influencing factors that affect the CDC efficiency.

关 键 词：疾病预防控制中心 多水平模型 影响因素 效率 

分 类 号：R197[医药卫生—卫生事业管理]