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Systems analysis of collaboration in 5 national tobacco control networks

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  • Luke, D.A.
  • Harris, J.K.
  • Shelton, S.
  • Carothers, B.J.
  • Mueller, N.B.
  • Allen, P.

Abstract

Objectives. We studied 5 members of the National Network Consortium on Tobacco Control in Priority Populations. These networks, which consist of governmental and nongovernmental organizations, targeted lesbian, gay, bisexual, and transgender persons; Asian Americans, Native Hawailans, and Pacific Islanders; American Indians and Alaska Natives; African Americans; and persons with low socioeconomic status, respectively. Methods. We used statistical network analysis modeling to examine collaboration among these national networks in 2007. Results. Network size and composition varied, but all 5 networks had extensive interorganizational collaboration. Location and work area were significant predictors of collaboration among network members In all 5 networks. Organizations were more likely to collaborate with their network's lead agency; collaborations with other agencies were more likely if they were geographically close. Collaboration was perceived to be important for achieving the goals of the national network. Conclusions. The similarity of collaboration patterns across the 5 networks suggests common underlying partnership formation processes. Statistical network modeling promises to be a useful tool for understanding how public health systems such as networks and coalitions can be used to improve the nation's health.

Suggested Citation

  • Luke, D.A. & Harris, J.K. & Shelton, S. & Carothers, B.J. & Mueller, N.B. & Allen, P., 2010. "Systems analysis of collaboration in 5 national tobacco control networks," American Journal of Public Health, American Public Health Association, vol. 100(7), pages 1290-1297.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.184358_3
    DOI: 10.2105/AJPH.2009.184358
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    Cited by:

    1. Parra, Diana C. & Dauti, Marsela & Harris, Jenine K. & Reyes, Lissette & Malta, Deborah C. & Brownson, Ross C. & Quintero, Mario A. & Pratt, Michael, 2011. "How does network structure affect partnerships for promoting physical activity? Evidence from Brazil and Colombia," Social Science & Medicine, Elsevier, vol. 73(9), pages 1365-1370.
    2. Jonathon P. Leider & Brian C. Castrucci & Jenine K. Harris & Shelley Hearne, 2015. "The Relationship of Policymaking and Networking Characteristics among Leaders of Large Urban Health Departments," IJERPH, MDPI, vol. 12(8), pages 1-12, August.
    3. Schoen, Martin W. & Moreland-Russell, Sarah & Prewitt, Kim & Carothers, Bobbi J., 2014. "Social network analysis of public health programs to measure partnership," Social Science & Medicine, Elsevier, vol. 123(C), pages 90-95.
    4. Sarah Moreland-Russell & Bobbi J. Carothers, 2015. "An Examination of Two Policy Networks Involved in Advancing Smokefree Policy Initiatives," IJERPH, MDPI, vol. 12(9), pages 1-15, September.
    5. Irina Timm & Simone Rapp & Christian Jeuter & Philip Bachert & Markus Reichert & Alexander Woll & Hagen Wäsche, 2021. "Interorganizational Networks in Physical Activity Promotion: A Systematic Review," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    6. Shelton, Rachel C. & Lee, Matthew & Brotzman, Laura E. & Crookes, Danielle M. & Jandorf, Lina & Erwin, Deborah & Gage-Bouchard, Elizabeth A., 2019. "Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review," Social Science & Medicine, Elsevier, vol. 220(C), pages 81-101.
    7. Isabel Cristina Panziera Marques & Mário Franco, 2020. "Cooperation networks in the area of health: systematic literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1727-1750, March.

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