Baylor University, Waco, Texas, USA.
Texas A&M University, College Station, Texas, USA.
J Health Organ Manag. 2020 Oct 12;34(8):885-897. doi: 10.1108/JHOM-04-2020-0120.
The health equity and prosperity of communities is closely linked to the effectiveness and success of local health coalitions. Social network analysis (SNA) is one mechanism to quantify and understand the factors leading to collaboration and effectiveness within these coalitions. This study aims to investigate network characteristics associated with perceived success and satisfaction in a health coalition and determine significant factors related to organizational collaborations.
DESIGN/METHODOLOGY/APPROACH: This study examined the Olympic Peninsula Healthy Community Coalition (OPHCC) which aims to prevent chronic disease in rural Clallam County, Washington. Representatives ( = 21) from member organizations ( = 18) were asked to report on organization characteristics, perceived satisfaction in coalition activities, perceived success toward coalition's mission, and collaborations with other organizations in the coalition. Multilevel modeling used to analyze whether an organization's position within the coalition network was associated with their perceived satisfaction and perceived success. Exponential random graph modeling was used to examine what factors may impact collaboration ties between coalition members.
Organization representatives reported a total of 252 collaboration ties. In multilevel models, organization characteristics and network centrality scores accounted for between 61 and 68% of variance displayed in satisfaction scores and 45-61% of variance in perceived success scores. Exponential random graph modeling revealed activity level, for-profit status, and transitivity as significant factors in collaborative tie presence.
ORIGINALITY/VALUE: Encouraging consistent active participation, a balance of organizational type, and projects which require more than two collaborators may provide an environment for collaborative ties between organizations.
社区的健康公平和繁荣与地方卫生联盟的有效性和成功密切相关。社会网络分析（SNA）是一种量化和理解导致这些联盟内合作和有效性的因素的机制。本研究旨在调查与健康联盟中感知成功和满意度相关的网络特征，并确定与组织合作相关的重要因素。
设计/方法/方法：本研究考察了奥林匹克半岛健康社区联盟（OPHCC），该联盟旨在预防华盛顿州克拉勒姆县农村地区的慢性疾病。来自成员组织（n=18）的代表（n=21）被要求报告组织特征、对联盟活动的满意度、对联盟使命的感知成功以及与联盟内其他组织的合作情况。多水平模型用于分析组织在联盟网络中的位置是否与其感知满意度和感知成功相关。指数随机图模型用于检验可能影响联盟成员之间合作关系的因素。
组织代表共报告了 252 个合作关系。在多水平模型中，组织特征和网络中心性得分解释了满意度得分中 61%至 68%的差异，以及感知成功得分中 45%至 61%的差异。指数随机图模型显示，活动水平、营利性地位和传递性是合作关系存在的重要因素。
创新性/价值：鼓励持续积极参与、组织类型的平衡以及需要两个以上合作伙伴的项目可能为组织之间的合作关系提供环境。
