Rebecca Lobb is with the Department of Surgery, Division of Public Health Sciences, School of Medicine, and Bobbi J. Carothers is with the George Warren Brown School of Social Work, Center for Public Health Systems Science, Washington University, St Louis, MO. Rebecca Lobb is also with the Keenan Research Centre, Li Ka Shing Knowledge Institute, and Aisha K. Lofters is with the Department of Family and Community Medicine, St Michael's Hospital, Toronto, ON.
Am J Public Health. 2014 Feb;104(2):358-64. doi: 10.2105/AJPH.2013.301532. Epub 2013 Dec 12.
We examined relationships among organizations in a cancer screening network to inform the development of interventions to improve cancer screening for South Asians living in the Peel region of Ontario.
From April to July 2012, we surveyed decision-makers, program managers, and program staff in 22 organizations in the South Asian cancer screening network in the Peel region. We used a network analytic approach to evaluate density (range = 0%-100%, number of ties among organizations in the network expressed as a percentage of all possible ties), centralization (range = 0-1, the extent of variability in centrality), and node characteristics for the communication, collaboration, and referral networks.
Density was similar across communication (15%), collaboration (17%), and referral (19%) networks. Centralization was greater in the collaboration network (0.30) than the communication network (0.24), and degree centralization was greater in the inbound (0.42) than the outbound (0.37) referral network. Diverse organizations were central to the networks.
Certain organizations were unexpectedly important to the South Asian cancer screening network. Program planning was informed by identifying opportunities to strengthen linkages between key organizations and to leverage existing ties.
我们考察了癌症筛查网络中的组织间关系,以为安大略省皮尔地区南亚人群癌症筛查的干预措施提供信息。
2012 年 4 月至 7 月,我们对皮尔地区南亚癌症筛查网络中的 22 个组织的决策者、项目管理人员和项目工作人员进行了调查。我们使用网络分析方法评估了沟通网络、合作网络和转诊网络的密度(范围为 0%-100%,网络中组织之间的联系数量占所有可能联系的百分比)、集中化程度(范围为 0-1,中心度的变化程度)和节点特征。
沟通网络(15%)、合作网络(17%)和转诊网络(19%)的密度相似。合作网络的集中化程度(0.30)高于沟通网络(0.24),入站转诊网络的度中心度(0.42)高于出站转诊网络(0.37)。多样化的组织是网络的核心。
某些组织对南亚癌症筛查网络至关重要。通过确定加强关键组织之间联系和利用现有联系的机会,为项目规划提供了信息。