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Exchanging and using research evidence in health policy networks: a statistical network analysis

机译:在卫生政策网络中交换和使用研究证据:统计网络分析

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Background Evidence-informed health policymaking is a goal of equitable and effective health systems but occurs infrequently in reality. Past research points to the facilitating role of interpersonal relationships between policy-makers and researchers, imploring the adoption of a social network lens. This study aims to identify network-level factors associated with the exchange and use of research evidence in policymaking. Methods Data on social networks and research use were collected from seventy policy actors across three health policy cases in Burkina Faso (child health, malaria, and HIV). Networks were graphed for actors? interactions, their provision of, and request for research evidence. Exponential random graph models estimated the probability of evidence provision and request between actors, controlling for network- and individual-level covariates. Logistic regression models estimated actors? use of research evidence to inform policy. Results Network structure explained more than half of the evidence exchanges (ties) observed in these networks. Across all cases, a pair of actors was more likely to form a provision tie if they already had a request tie between them and visa versa (??=?6.16, p?
机译:背景循证卫生政策制定是公平有效的卫生系统的目标,但在现实中很少发生。过去的研究指出,政策制定者和研究人员之间的人际关系起到了促进作用,从而阻碍了社交网络的采用。本研究旨在确定与政策制定过程中研究证据的交换和使用相关的网络级因素。方法从布基纳法索的三个健康政策案例(儿童健康,疟疾和艾滋病毒)中的七十个政策参与者收集社会网络和研究用途的数据。网络是为演员绘制的?相互作用,其提供和要求提供研究证据。指数随机图模型估计了参与者之间证据提供和请求的可能性,并控制了网络级和个人级协变量。 Logistic回归模型估计参与者?利用研究证据为政策提供信息。结果网络结构解释了在这些网络中观察到的证据交换(联系)的一半以上。在所有情况下,如果一对行为者之间已经存在请求关系,反之则更可能形成供应关系(?? =?6.16,p?<?0.05; ?? =?2.87,p?< <0.05;Δθ=≤2.31,p≤<0.05)。儿童保健网络显示出聚类趋势,这意味着如果演员有一个相识,他们就更有可能结成联系(?? =?2.36,p?<?0.05)。演员?研究证据的使用与其中心性(即联系性)成正相关。结论决策过程中研究证据的交换和使用可以部分由行为者的结构来解释。关系网络。支持知识翻译和循证决策的工作应考虑网络因素。

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