Systems Analysis of Collaboration in 5 National Tobacco Control Networks

Bibliographic Data

ID11026502
AuthorsDouglas A Luke (0000-0003-1332-8569, At the time of the study, Douglas A. Luke, Sarah Shelton, Peg Allen, Bobbi J. Carothers, and Nancy B. Mueller were with the Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO. Jenine K. Harris was with the School of Public Health, Saint Louis University, St. Louis.), Jenine K Harris (0000-0002-3576-5906, At the time of the study, Douglas A. Luke, Sarah Shelton, Peg Allen, Bobbi J. Carothers, and Nancy B. Mueller were with the Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO. Jenine K. Harris was with the School of Public Health, Saint Louis University, St. Louis.), Sarah Shelton (At the time of the study, Douglas A. Luke, Sarah Shelton, Peg Allen, Bobbi J. Carothers, and Nancy B. Mueller were with the Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO. Jenine K. Harris was with the School of Public Health, Saint Louis University, St. Louis.), Peg Allen (0000-0001-7000-796X, At the time of the study, Douglas A. Luke, Sarah Shelton, Peg Allen, Bobbi J. Carothers, and Nancy B. Mueller were with the Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO. Jenine K. Harris was with the School of Public Health, Saint Louis University, St. Louis.), Bobbi J Carothers (0000-0001-6050-9712, At the time of the study, Douglas A. Luke, Sarah Shelton, Peg Allen, Bobbi J. Carothers, and Nancy B. Mueller were with the Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO. Jenine K. Harris was with the School of Public Health, Saint Louis University, St. Louis.), Nancy B Mueller (At the time of the study, Douglas A. Luke, Sarah Shelton, Peg Allen, Bobbi J. Carothers, and Nancy B. Mueller were with the Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO. Jenine K. Harris was with the School of Public Health, Saint Louis University, St. Louis.)
Year2010
Volume100
Issue7
Pages1290-1297
Publication date2010-07-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2009.184358
PMID20466950
PMCIDPMC2882404
OpenAlexW1994925965
LanguageEN
Citations received18
References cited36

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 Hawaiians, 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

Control (management) · Environmental health · Public health · Tobacco control · Artificial Intelligence · Community Health and Development · Computer Science · Health disparities and outcomes · HIV, Drug Use, Sexual Risk · Medicine · Nursing

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