Seeing the forest and the trees: Using network analysis to develop an organizational blueprint of state tobacco control systems

Jenine K. Harris, Douglas A. Luke, Ryan C. Burke and Nancy B. Mueller

Social Science & Medicine, 2008, vol. 67, issue 11, 1669-1678

Abstract: In the United States, tobacco control activities are organized primarily in state tobacco control programs. These programs are comprised of public and private agencies working together to reduce tobacco use. The human, financial, and informational resources that go into state tobacco control programs are documented, and the outcomes of these programs have been studied in terms of health and health behavior. However, little is known about the organizational infrastructure that transforms the human, financial, and informational resources into positive health outcomes. This study examined the inter-organizational relationships among key partner agencies in eight state tobacco control programs. The state programs varied in terms of funding level, funding stability, and region of the country. Using a network analytic approach we asked an average of 14 agencies in each state program about their contacts and partnerships with the other key tobacco control agencies in their state program. Using network visualization and statistics we determined that the state networks shared some common features such as a highly central lead agency, but also had differences in network structure in terms of density and centralization. Using blockmodeling we found that, despite differences in state and program characteristics, there was a common organizational structure among the eight state programs. Understanding the inter-organizational relationships and the common organizational structures of state programs can aid researchers and practitioners in enhancing program capacity and in developing strategies for organizing effective public health systems.

Keywords: Network; analysis; Tobacco; control; Systems; Organizations; Blockmodeling; Public; health (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (11)

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