Measuring the effects of knowledge translation network structure on policy outputs and outcomes using social network analysis methods.

使用社交网络分析方法衡量知识翻译网络结构对政策输出和结果的影响。

• 批准号: 206207
• 负责人: Shearer Jessica
• 金额: $ 7.65万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Studentship Programs
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-10-01 至 2012-10-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=206207&lang=en
• 关键词: Case Study; Evidence-Informed Policy-Making; Health Policy; Health Systems; Knowledge Translation; Longitudinal Model; Low And Middle-Income Countries; Multilevel Model; Qualitative Research; Social Network Analysis

Health policies that are based on research have a greater potential impact on our society's health concerns, but it is difficult to build lasting linkages between researchers and policy-makers. A new way of linking these groups is being tried in other par

以研究为基础的卫生政策对我们社会的卫生问题具有更大的潜在影响，但很难在研究人员和决策者之间建立持久的联系。其他部门正在尝试一种将这些群体联系起来的新方式