Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA; Brown School, Washington University in St. Louis, St. Louis, MO, USA.
Prevention Research Center in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO, USA; Brown School, Washington University in St. Louis, St. Louis, MO, USA.
Prev Med. 2019 Jan;118:176-183. doi: 10.1016/j.ypmed.2018.10.026. Epub 2018 Oct 29.
Many communities have prioritized policy and built environment changes to promote active transportation (AT). However, limited information exists on the partnerships and processes necessary to develop and implement such policy and environmental changes, particularly among organizations in non-health sectors. Within the transportation sector, metropolitan planning organizations (MPOs) are increasingly recognized as organizations that can support AT policies. This study examined inter-organizational relationships among MPOs and their partners working to advance AT policies in six U.S. cities. In fall 2015, an average of 22 organizations in each city participated in an online survey about partnerships with MPOs and other organizations developing and implementing AT policies. Measures included organizational characteristics and relational attributes including: level of AT policy collaboration, information transmission, resource sharing, and perceived decisional power. Descriptive network analysis and exponential random graph modeling were used to examine organizational attributes and relational predictors associated with inter-organizational collaboration in each network. MPOs served as collaborative intermediaries, connecting other organizations around AT policies, in half of the cities examined. Organizations in each city were more likely to collaborate around AT policies when partners communicated at least quarterly. In half of the cities, the probability of AT policy collaboration was higher when two agencies exchanged resources and when organizations had perceived decisional authority. Network analysis helped identify factors likely to improve partnerships around AT policies. Results may contribute to best practices for collaboration among researchers, practitioners, policymakers, and advocates across diverse sectors seeking to promote population-level physical activity.
许多社区都优先考虑政策和建设环境的改变，以促进积极的交通方式（AT）。然而，关于制定和实施此类政策和环境变化所需的伙伴关系和流程的信息有限，特别是在非卫生部门的组织中。在交通部门，大都市区规划组织（MPO）越来越被认为是能够支持 AT 政策的组织。本研究考察了六个美国城市中致力于推进 AT 政策的 MPO 及其合作伙伴之间的组织间关系。在 2015 年秋季，每个城市平均有 22 个组织参与了一项关于与 MPO 以及其他组织建立和实施 AT 政策的伙伴关系的在线调查。措施包括组织特征和关系属性，包括：AT 政策合作水平、信息传递、资源共享和感知决策能力。描述性网络分析和指数随机图模型用于检查与每个网络中的组织间协作相关的组织属性和关系预测因子。在一半的研究城市中，MPO 充当合作中介，围绕 AT 政策连接其他组织。当合作伙伴每季度至少沟通一次时，每个城市的组织更有可能围绕 AT 政策进行合作。在一半的城市中，当两个机构交换资源并且组织具有感知决策权威时，AT 政策合作的可能性更高。网络分析有助于确定可能改善围绕 AT 政策的伙伴关系的因素。研究结果可能有助于为寻求促进人口水平体育活动的不同部门的研究人员、从业者、政策制定者和倡导者之间的合作提供最佳实践。
