Global tobacco control diffusion: the case of the framework convention on tobacco control.
OBJECTIVE
We analyzed demographic and social network variables associated with the timing of ratification of the Framework Convention on Tobacco Control (FCTC).


METHODS
We compiled a 2-mode data set that recorded country participation in FCTC negotiations, as well as the number of individuals per country per year who joined an online tobacco control network. We used logistic regression analysis of these 2 data sets along with geographic location to determine whether exposure to prior FCTC adoptions was associated with a country's likelihood of adoption.


RESULTS
In the logistic regression analysis, higher income and more nongovernmental organizations (NGOs) involved in the Framework Convention Alliance (a network dedicated to the FCTC) were associated with being among the earliest adopters (for income, adjusted odds ratio [AOR] = 2.41; 95% confidence interval [CI] = 1.55; for NGOs, AOR = 1.66; 95% CI = 1.26, 2.17) or among early adopters (for income, AOR = 1.42; 95% CI = 1.09, 1.84; for NGOs, AOR = 1.23; 95% CI = 1.03, 1.45). Network exposure and event history analysis showed that in addition to income, the likelihood of adoption increased with increasing affiliation exposure to FCTC adopters through GLOBALink (an online network facilitating communication between tobacco control advocates).


CONCLUSIONS
Public health programs should include a plan for creating opportunities for network interaction; otherwise, adoption and diffusion will be delayed and the investments in public health policy greatly diminished.
Wipfli
Heather L
HL
Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA. hwipfli@usc.edu
Fujimoto
Kayo
K
Valente
Thomas W
TW
D004059:Diffusion of Innovation; D014943:Global Health; D006293:Health Promotion; D006801:Humans; D007391:International Cooperation / Q000331:legislation & jurisprudence*; D016540:Smoking Cessation / Q000331:legislation & jurisprudence*; D000074606:Smoking Prevention; D013598:Systems Theory; D013997:Time Factors; D014944:World Health Organization
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