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Community program activities predict local tobacco policy adoption in Florida Counties
Grattan, L. E., Schmitt, C. L., & Porter, L. (2020). Community program activities predict local tobacco policy adoption in Florida Counties. American Journal of Health Promotion, 34(7), 722-728. Article 0890117120904005. https://doi.org/10.1177/0890117120904005
The Bureau of Tobacco Free Florida's community program funds county-level grantees who promote local policy change through activities that educate the public, policy-makers, and decision-makers. There is robust literature linking tobacco control policies such as smoke-free air laws and tax increases to reductions in tobacco use. There is less evidence documenting the local activities programs conduct to achieve local policy change. In the current study, we used a quantitative model to assess the relationship between community tobacco control activities and local tobacco policy adoption. Grantee activities and policy adoption for each county are recorded in a database. To evaluate the community program, we compiled inputs and used a fixed-effects negative binomial regression to examine the relationship between grantee activities and policy adoption across all 67 community-based programs in Florida from 2010 to 2017 and analyzed the data in 2018. Measures included categories of policies (organization policies and jurisdiction policies) and community-based activities associated with tobacco control programs. Organization policy (school and business policy) and jurisdiction policy (county or city ordinances, proclamations, and resolutions) were dependent on partner meetings (incident rate ratio [IRR] = 1.03, confidence interval [CI] = 1.00-1.07 and IRR = 1.04, CI = 1.01-1.07, respectively) and local decision-maker communication (IRR = 1.01, CI = 1.00-1.03 and IRR = 1.05, CI = 1.03-1.07, respectively). Jurisdiction policy was also dependent on media advocacy (IRR = 1.07, CI = 1.02-1.12) and state policy-maker education (IRR = 1.16, CI = 1.06-1.26. Community outreach was negatively associated with jurisdiction policy (IRR = 0.97, CI = 0.94-0.99), and data collection was negatively associated with organization and jurisdiction policy (IRR = 0.97, CI = 0.95-1.00 and IRR = 0.97, CI = 0.95-1.00, respectively). Results from the study demonstrate that the type and timing of community grantee activities may influence local tobacco control policy adoption.