1Washington University in St. Louis, St. Louis, MO, USA.
Health Educ Behav. 2013 Oct;40(1 Suppl):33S-42S. doi: 10.1177/1090198113492760.
Little is known regarding the social network relationships that influence dissemination of evidence-based public health practices and policies. In public health, it is critical that evidence-based guidelines, such as the Centers for Disease Control and Prevention's Best Practices for Comprehensive Tobacco Control Programs, are effectively and efficiently disseminated to intended stakeholders. To determine the organizational and network predictors of dissemination among state tobacco control programs, interviews with members of tobacco control networks across eight states were conducted between August 2009 and September 2010. Measures included partner attributes (e.g., agency type) and relationships among network members (frequency of contact, extent of collaboration, and dissemination of Best Practices). Exponential random graph modeling was used to examine attribute and structural predictors of collaboration and dissemination among partners in each network. Although density and centralization of dissemination ties varied across states, network analyses revealed a consistent prediction pattern across all eight states. State tobacco control dissemination networks were less dense but more centralized compared with organizational contact and collaboration networks. Tobacco control partners in each state were more likely to disseminate the Best Practices guidelines if they also had existing contact and collaboration relationships with one another. Evidence-based guidelines in public health need to be efficiently and broadly disseminated if we hope to translate science into practice. This study suggests that funders, advocacy groups, and public health agencies can take advantage of existing public health organizational relationships to support the communication and dissemination of evidence-based practices and policies.
对于影响循证公共卫生实践和政策传播的社会网络关系,人们知之甚少。在公共卫生领域,至关重要的是,循证指南,如疾病控制与预防中心的全面烟草控制计划最佳实践,能够有效地向预期的利益相关者传播。为了确定州级烟草控制计划传播的组织和网络预测因素,于 2009 年 8 月至 2010 年 9 月期间对八个州的烟草控制网络成员进行了访谈。测量指标包括合作伙伴属性(例如机构类型)以及网络成员之间的关系(联系频率、合作程度和最佳实践的传播)。采用指数随机图模型来检验每个网络中合作伙伴之间的协作和传播的属性和结构预测因素。尽管各州之间的传播联系密度和集中程度有所不同,但网络分析显示出所有八个州一致的预测模式。与组织联系和合作网络相比,州级烟草控制传播网络的密度较低,但集中程度较高。如果每个州的烟草控制合作伙伴彼此之间已经存在联系和合作关系,那么他们更有可能传播最佳实践指南。如果我们希望将科学转化为实践,公共卫生中的循证指南就需要高效和广泛地传播。本研究表明,资助者、宣传团体和公共卫生机构可以利用现有的公共卫生组织关系来支持循证实践和政策的沟通和传播。