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Washington State Institute for Public Policy
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Compliance checks for tobacco

Public Health & Prevention: Population-level policies
  Literature review updated June 2016.
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Checking and providing feedback to outlets on their compliance with minimum age laws is intended to reduce the retail supply of tobacco to youth. Studies in this analysis included a range of consequences for being caught selling tobacco to minors (warnings, fines, and threat of license revocation). One of five studies in this analysis also included a reward (congratulatory note) for compliance with minimum age laws. Compliance check campaigns typically include retailer education and media coverage to enhance retailers’ perception of enforcement. Studies included in this analysis range from short-term interventions of 1-2 waves of compliance checks over several months to longer-term interventions with multiple compliance checks over a 1-2 year period. Most interventions were implemented in the mid-1990’s, paralleling implementation of state and federal tobacco control policies.
 
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META-ANALYSIS
CITATIONS

Meta-analysis is a statistical method to combine the results from separate studies on a program, policy, or topic in order to estimate its effect on an outcome. WSIPP systematically evaluates all credible evaluations we can locate on each topic. The outcomes measured are the types of program impacts that were measured in the research literature (for example, crime or educational attainment). Treatment N represents the total number of individuals or units in the treatment group across the included studies.

An effect size (ES) is a standard metric that summarizes the degree to which a program or policy affects a measured outcome. If the effect size is positive, the outcome increases. If the effect size is negative, the outcome decreases. See Estimating Program Effects Using Effect Sizes for additional information.

Adjusted effect sizes are used to calculate the benefits from our benefit cost model. WSIPP may adjust effect sizes based on methodological characteristics of the study. For example, we may adjust effect sizes when a study has a weak research design or when the program developer is involved in the research. The magnitude of these adjustments varies depending on the topic area.

WSIPP may also adjust the second ES measurement. Research shows the magnitude of some effect sizes decrease over time. For those effect sizes, we estimate outcome-based adjustments which we apply between the first time ES is estimated and the second time ES is estimated. We also report the unadjusted effect size to show the effect sizes before any adjustments have been made. More details about these adjustments can be found in our Technical Documentation.

Meta-Analysis of Program Effects
Outcomes measured No. of effect sizes Treatment N Adjusted effect size(ES) and standard error(SE) Unadjusted effect size (random effects model)
ES SE Age ES p-value
15 1 3002 0.088 0.161 15 0.088 0.586
15 7 586 -0.526 0.212 15 -1.321 0.003

Citations Used in the Meta-Analysis

Chapman, S., King, M., Andrews, B., McKay, E., Markham, P., & Woodward, S. (1994). Effects of publicity and a warning letter on illegal cigarette sales to minors. Australian Journal of Public Health, 18(1), 39-42.

Cummings, K.M., Hyland, A., Saunders-Martin, T., Perla, J., Coppola, P.R., & Pechacek, T.F. (1998). Evaluation of an enforcement program to reduce tobacco sales to minors. American Journal of Public Health, 88(6), 932-936.

Gemson, D.H., Moats, H.L., Watkins, B.X., Ganz, M.L., Robinson, S., & Healton, E. (1998). Laying down the law: Reducing illegal tobacco sales to minors in central Harlem. American Journal of Public Health, 88(6), 936-939.

Jason, L., Billows, W., Schnopp-Wyatt, D., & King, C. (1996). Reducing the illegal sales of cigarettes to minors: Analysis of alternative enforcement schedules. Journal of Applied Behavior Analysis, 29(3), 333-344.

Rigotti, N.A., DiFranza, J.R., Chang, Y., Tisdale, T., Kemp, B., & Singer, D. (1997). The effect of enforcing tobacco-sales laws on adolescents' access to tobacco and smoking behavior. The New England Journal of Medicine, 337(15), 1044-1051.