Franco Zeno E, Ahmed Syed M, Maurana Cheryl A, DeFino Mia C, Brewer Devon D
Department of Family and Community Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Clinical and Translational Science Institute, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Clin Transl Sci. 2015 Aug;8(4):311-9. doi: 10.1111/cts.12288. Epub 2015 May 14.
Social Network Analysis (SNA) provides an important, underutilized approach to evaluating Community Academic Partnerships for Health (CAPHs). This study examines administrative data from 140 CAPHs funded by the Healthier Wisconsin Partnership Program (HWPP).
Funder data was normalized to maximize number of interconnections between funded projects and 318 non-redundant community partner organizations in a dual mode analysis, examining the period from 2003-2013.Two strategic planning periods, 2003-2008 vs. 2009-2014, allowed temporal comparison.
Connectivity of the network was largely unchanged over time, with most projects and partner organizations connected to a single large component in both time periods. Inter-partner ties formed in HWPP projects were transient. Most community partners were only involved in projects during one strategic time period. Community organizations participating in both time periods were involved in significantly more projects during the first time period than partners participating in the first time period only (Cohen's d = 0.93).
This approach represents a significant step toward using objective (non-survey) data for large clusters of health partnerships and has implications for translational science in community settings. Considerations for government, funders, and communities are offered. Examining partnerships within health priority areas, orphaned projects, and faculty ties to these networks are areas for future research.
社会网络分析（SNA）为评估社区健康学术伙伴关系（CAPHs）提供了一种重要但未得到充分利用的方法。本研究考察了由威斯康星州更健康伙伴计划（HWPP）资助的140个社区健康学术伙伴关系的行政数据。
在双模式分析中，对资助者数据进行了标准化处理，以最大化资助项目与318个非冗余社区伙伴组织之间的联系数量，研究时间段为2003年至2013年。两个战略规划期，即2003 - 2008年与2009 - 2014年，便于进行时间比较。
随着时间推移，网络的连通性基本保持不变，在两个时间段内，大多数项目和伙伴组织都与一个单一的大型组件相连。HWPP项目中形成的伙伴间联系是短暂的。大多数社区伙伴仅在一个战略时间段内参与项目。在两个时间段都参与的社区组织在第一个时间段参与的项目明显多于仅在第一个时间段参与的伙伴（科恩d值 = 0.93）。
这种方法代表了朝着使用客观（非调查）数据来研究大型健康伙伴关系集群迈出的重要一步，并且对社区环境中的转化科学具有启示意义。文中为政府、资助者和社区提供了相关考量。考察健康优先领域内的伙伴关系、孤立项目以及教师与这些网络的联系是未来研究的方向。
