Systems analysis of collaboration in 5 national tobacco control networks.
OBJECTIVE
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.
Luke
Douglas A
DA
Center for Tobacco Policy Research, Brown School of Social Work, Washington University in St. Louis, St. Louis, MO 63112, USA. dluke@wustl.edu
Harris
Jenine K
JK
Shelton
Sarah
S
Allen
Peg
P
Carothers
Bobbi J
BJ
Mueller
Nancy B
NB
D019058:Community Networks / Q000458:organization & administration*; D003299:Cooperative Behavior; D005260:Female; D006801:Humans; D008297:Male; D000074606:Smoking Prevention; D013597:Systems Analysis; D018511:Systems Integration; D013598:Systems Theory; D019460:Tobacco Industry
Public Health Rep. 2004 May-Jun;119(3):303-10
15158109
J Community Psychol. 2009 Sep;37(7):830-845
28883667
J Stat Softw. 2008;24(1):1548-7660
18618019
J Stat Softw. 2008 May 1;24(3):nihpa54860
19756229
Am J Community Psychol. 2005 Jun;35(3-4):185-200
15909794
Health Educ Q. 1996 Feb;23(1):65-79
8822402
Annu Rev Public Health. 2000;21:369-402
10884958
Am J Public Health. 2003 Jun;93(6):988-93
12773366
Am J Public Health. 1994 May;84(5):825-9
8179056
Prev Chronic Dis. 2004 Oct;1(4):A08
15670440
Am J Public Health. 2005 May;95(5):867-72
15855467
J Stat Softw. 2008;24(4):1548-7660
18650964
Annu Rev Public Health. 2007;28:69-93
17222078
Addict Behav. 2007 Dec;32(12):3054-9
17509770
Soc Networks. 2007 May;29(2):231-248
18449326
Am J Public Health. 2007 Aug;97(8):1496-502
17600265
Am J Public Health. 2006 Mar;96(3):403-5
16449572
J Health Organ Manag. 2005;19(6):504-18
16375071
Am J Public Health. 2005 Jun;95(6):965-8
15914817
Am J Prev Med. 2007 Aug;33(2):169-71
17673106
Soc Sci Med. 2008 Dec;67(11):1669-78
18722038
Am J Prev Med. 2008 Aug;35(2 Suppl):S173-81
18619397
Am J Prev Med. 2001 Aug;21(2):142-9
11457635
Am J Public Health. 2008 Mar;98(3):556-9
17901429
Am J Prev Med. 2008 Aug;35(2 Suppl):S196-203
18619400
Prev Chronic Dis. 2007 Apr;4(2):A34
17362625
Am J Community Psychol. 2008 Mar;41(1-2):115-26
18176839