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农村医疗服务纵向整合影响因素研究——以江苏省为例
引用本文:魏明杰,刘雪仪,钱东福. 农村医疗服务纵向整合影响因素研究——以江苏省为例[J]. 中国卫生政策研究, 2017, 10(4): 31-36
作者姓名:魏明杰  刘雪仪  钱东福
作者单位:南京医科大学医政学院 江苏南京 211166;健康相关重大社会风险预警协同创新中心 江苏南京 211166
基金项目:国家自然科学基金面上项目(71473130)
摘    要:目的:了解农村医疗服务纵向整合影响因素,为整合提供政策依据。方法:2015年8月,对江苏省三地288名整合参与人员进行问卷调查,探索性因子分析农村医疗服务纵向整合影响因素。结果:共提取了4个公因子,分别为组织管理因子、激励机制因子、政策及配套措施因子、信息共享及业务交流因子。卫生管理者、医护人员、公共卫生专业人员对影响因素评价的综合得分分别为0.03、0.04、-0.02。结论:出台针对性的支持政策,建立互相交流沟通机制,有效的激励机制是整合成功的保证。

关 键 词:农村  医疗服务  纵向整合  因子分析法
收稿时间:2016-09-18
修稿时间:2016-11-28

The influencing factors of vertical rural health services integration in Jiangsu Province: Based on factor analytic method
WEI Ming-jie,LIU Xue-yi,QIAN Dong-fu. The influencing factors of vertical rural health services integration in Jiangsu Province: Based on factor analytic method[J]. Chinese Journal of Health Policy, 2017, 10(4): 31-36
Authors:WEI Ming-jie  LIU Xue-yi  QIAN Dong-fu
Affiliation:School of Health Policy and Management, Nanjing Medical University, Nanjing Jiangsu 211166, China;Health-related catastrophic social risk warning Collaborative Innovation Center, Nanjing Jiangsu 211166, China
Abstract:Objective: In order to better understand the influencing factors of vertical rural health services integration and put forward policy suggestions for its sustainable development. Methods: 288 residents were investigated through questionnaire survey in three sample areas of Jiangsu province in August 2015. Results: In this study, 4 common factors have been found, namely organizational management, incentive mechanism, policy and supporting measures, as well as information sharing and business communication. The overall scores given by health managers, doctors and nurses, and public healthcare professionals were 0.03, 0.04 and -0.02 respectively. Conclusions: Therefore, in order to succeed, it is very necessary to introduce targeted supporting policies, establish a mutual communication mechanism, and make an effective incentive mechanism.
Keywords:Rural area  Healthcare service  Vertical integration  Factor analytic method
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