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Structural analysis of health-relevant policy-making information exchange networks in Canada

机译:加拿大健康相关政策制定信息交流网络的结构分析

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Health systems worldwide struggle to identify, adopt, and implement in a timely and system-wide manner the best-evidence-informed-policy-level practices. Yet, there is still only limited evidence about individual and institutional best practices for fostering the use of scientific evidence in policy-making processes The present project is the first national-level attempt to (1) map and structurally analyze-quantitatively-health-relevant policy-making networks that connect evidence production, synthesis, interpretation, and use; (2) qualitatively investigate the interaction patterns of a subsample of actors with high centrality metrics within these networks to develop an in-depth understanding of evidence circulation processes; and (3) combine these findings in order to assess a policy network's "absorptive capacity" regarding scientific evidence and integrate them into a conceptually sound and empirically grounded framework. The project is divided into two research components. The first component is based on quantitative analysis of ties (relationships) that link nodes (participants) in a network. Network data will be collected through a multi-step snowball sampling strategy. Data will be analyzed structurally using social network mapping and analysis methods. The second component is based on qualitative interviews with a subsample of the Web survey participants having central, bridging, or atypical positions in the network. Interviews will focus on the process through which evidence circulates and enters practice. Results from both components will then be integrated through an assessment of the network's and subnetwork's effectiveness in identifying, capturing, interpreting, sharing, reframing, and recodifying scientific evidence in policy-making processes. Knowledge developed from this project has the potential both to strengthen the scientific understanding of how policy-level knowledge transfer and exchange functions and to provide significantly improved advice on how to ensure evidence plays a more prominent role in public policies.
机译:卫生系统全球努力确定,采用和实施,以及时和系统的方式是最好的证据告知政策级别实践。然而,仍然只有有限的证据证据了促进使用科学证据在政策制定过程中的使用,目前的项目是第一个(1)地图和结构分析 - 定量健康相关的国家一级企图策略制作网络,用于连接证据生产,综合,解释和使用; (2)定性地研究了这些网络中具有高中心度量的演员的相互作用模式,以便深入了解证据流通过程; (3)结合了这些调查结果,以评估政策网络的“吸收能力”,了解科学证据,并将它们融入概念上的声音和经验接地的框架。该项目分为两项研究组件。第一组件基于与网络中的节点(参与者)联系的关系(关系)的定量分析。网络数据将通过多步雪球采样策略收集。使用社交网络映射和分析方法在结构上进行分析数据。第二个组成部分基于定性访谈,该访谈具有具有网络中的中央,桥接或非典型位置的网络调查参与者的子样本。采访将专注于证据流通并进入惯例的过程。然后,两个组件的结果将通过评估网络和子网的效果来确定,捕捉,解释,分享,重新介绍和重新介绍政策制定过程中的科学证据。从该项目中开发的知识有可能加强对政策级知识转移和交流职能的科学了解,并提供有关如何确保证据在公共政策中发挥更加突出作用的明显提高建议。

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