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Factors Associated with the Adoption of Tobacco Cessation Programmes in Schools

Published online by Cambridge University Press:  02 February 2016

Melissa A. Little Open the ORCID record for Melissa A. Little [Opens in a new window] ,
Pallav Pokhrel ,
Steve Sussman ,
Karen J. Derefinko ,
Zoran Bursac  and
Louise Ann Rohrbach
Melissa A. Little*
Affiliation:
Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
Pallav Pokhrel
Affiliation:
Cancer Prevention and Control Program, University of Hawai’i Cancer Center, Honolulu, Hi, USA
Steve Sussman
Affiliation:
Institute for Prevention Research, University of Southern California, Los Angeles, California, USA
Karen J. Derefinko
Affiliation:
Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
Zoran Bursac
Affiliation:
Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
Louise Ann Rohrbach
Affiliation:
Institute for Prevention Research, University of Southern California, Los Angeles, California, USA
*
Address for correspondence: Melissa A. Little, Ph.D., M.P.H., Assistant Professor, Center for Population Sciences, Department of Preventive Medicine, University of Tennessee Health Science Center, 66 N. Pauline Street, Memphis, TN 38105. Email: [email protected]
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Abstract

Background: Although there are now a number of evidence-based tobacco use cessation programs available for dissemination, almost all adolescent tobacco cessation research comprises efficacy and effectiveness studies. As a result, there is a need for more research to guide the scaling up of these programs.

Methods: The current study utilized data from a cross-sectional sample of 205 administrators and tobacco prevention program coordinators in school districts and county offices of education throughout California, to explore factors that affect the adoption of tobacco cessation programs in schools.

Results: We found that several characteristics of the community, organization and individual respondent were associated with the adoption of evidence-based tobacco cessation programs in schools, including identifying tobacco use prevention as a community priority, having school-level SUP coordinators, greater coordinator effort devoted to tobacco use prevention, having a program champion, and currently receiving TUPE funds (all ps < .05).

Conclusions: Although the availability of dedicated tobacco education funds is an important factor in schools adopting tobacco cessation programs with proven effectiveness, our results suggest that strengthening education agencies' capacity to implement prevention programming, through dedicated resources and personnel, has the potential to lead to increased adoption of tobacco cessation programs.

Type
Original Articles
Information
Journal of Smoking Cessation , Volume 12 , Issue 1 , March 2017 , pp. 55 - 62
Copyright
Copyright © The Author(s) 2016 

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References

Beets, M., Flay, B., Vuchinich, S., Acock, A., Li, K. K., & Allred, C. (2008). School climate and teachers’ beliefs and attitudes associated with implementation of the positive action program: A diffusion of innovations model. Prevention Science, 9 (4), 264–275.Google Scholar
Blake, S. M., Ledsky, R. A., Sawyer, R. J., Goodenow, C., Banspach, S., Lohrmann, D. K., et al. (2005). Local school district adoption of state-recommended policies on HIV prevention education. Preventive Medicine, 40 (2), 239–248.CrossRefGoogle ScholarPubMed
California Department of Education (2011a). County offices of education. Retrieved November 9, 2011 from http://www.cde.ca.gov/re/sd/co/coes.asp.Google Scholar
California Department of Education (2011b). TUPE Competitive Grant Applicants: Safe and Healthy Kids Program Office. Hayward, CA: California Department of Education.Google Scholar
California Healthy Kids Resource Center (2010). Research validated titles. Retrieved July 27, 2010, from California HealthyKids Resource Center. http://www.californiahealthykids.org/c/@MxTzHUbt3Nbj2/Pages/searchres.html.Google Scholar
Centers for Disease Control and Prevention (2010). Youth risk behavior surveillance - United States, 2009. Surveillance Summaries, June 4, 2010. Morbidity and Mortality Weekly Report, 59 (No. SS-5).Google Scholar
Center for Substance Abuse Prevention (2009). Identifying and selecting evidence-based interventions revised guidance document for the strategic prevention framework state incentive grant program. HHS Pub. No. (SMA)09–4205. Rockville, MD: Center for Substance Abuse Prevention, Substance Abuse and Mental Health Services Administration.Google Scholar
Cho, H., Hallfors, D. D., Iritani, B. J., & Hartman, S. (2009). The influence of ‘No Child Left Behind’ legislation on drug prevention in U.S. Schools. Evaluation Review, 33 (5), 446–463. doi: 10.1177/0193841x09335050 Google Scholar
Curry, S. J., et al. (2010). ‘A national evaluation of community-based youth cessation programs: design and implementation.’ Evaluation Review 34 (6): 487–512.Google Scholar
Curry, S. J., Emery, S., Sporer, A. K., Mermelstein, R., Flay, B. R., Berbaum, M. et al. (2007). A national survey of tobacco cessation programs for youths. American Journal of Public Health, 97 (1), 171–177. doi: 10.2105/ajph.2005.065268.Google Scholar
Curry, S. J., Mermelstein, R. J., Emery, S. L., Sporer, A. K., Berbaum, M. L., Campbell, R. T. et al. (2013). A national evaluation of community-based youth cessation programs: End of program and twelve-month outcomes. American Journal of Community Psychology, 51 (1–2), 15–29. doi: 10.1007/s10464-012-9496-8.Google Scholar
Curry, S. J., Mermelstein, R. J., & Sporer, A. K. (2009). Therapy for specific problems: Youth tobacco cessation. Annual Review of Psychology, 60 (1), 229–255. doi: doi:10.1146/annurev.psych.60.110707.163659.Google Scholar
Durlak, J. A. & DuPre, E. P. (2008). Implementation matters: a review of research on the influence of implementation on program outcomes and the factors affecting implementation. Am J Community Psychol 41 (3–4): 327–350.Google Scholar
Estabrooks, P. A., & Glasgow, R. E. (2006). Translating effective clinic-based physical activity interventions into practice. American Journal of Preventive Medicine, 31, 45–56.Google Scholar
Hallfors, D., & Godette, D. (2002). Will the ‘Principles of effectiveness’ improve prevention practice? Early findings from a diffusion study. Health Education Research, 17 (4), 461–470. doi: 10.1093/her/17.4.461.Google Scholar
Johnston, L. D., O’Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2015). Monitoring the Future national survey results on drug use: 1975–2014: Overview, key findings on adolescent drug use. Ann Arbor, Institute for Social Research, The University of Michigan.Google Scholar
Kaftarian, S., Robertson, E., Compton, W., Davis, B. W., & Volkow, N. (2004). Blending prevention research and practice in dchools: Critical issues and suggestions. Prevention Science, 5 (1), 1–3.Google Scholar
Little, M. A., Pokhrel, P., Sussman, S., & Rohrbach, L. A. (2015). The process of adoption of evidence-based tobacco use prevention programs in California schools. Prev Sci, 16 (1): 80–89.Google Scholar
Little, M. A., Pokhrel, P., Rohrbach, L. A., & Sussman, S. (in press). Factors associated with the use of evidence-based tobacco use prevention programs in schools by school districts throughout California. Prevention Science.Google Scholar
Mermelstein, R. (2003). Teen smoking cessation. Tobacco Control, 12 (Suppl. 1), i25–i34.Google Scholar
Mihalic, S., Fagan, A., & Argamaso, S. (2008). Implementing the LifeSkills training drug prevention program: Factors related to implementation fidelity. Implementation Science, 3 (5). doi: 10.1186/1748-5908-3-5.CrossRefGoogle ScholarPubMed
National Cancer Institute & Substance Abuse and Mental Health Services Administration (2010). Research-tested intervention programs. Retrieved July 27, 2010 from U.S. Department of Health and Human Services http://rtips.cancer.gov/rtips/index.do.Google Scholar
Office of Safe and Drug Free Schools & United States Department of Education (2010). Exemplary and promising: Safe, disciplined, and drug-free schools programs. Retrieved July 27, 2010 from United States Department of Education. http://www2.ed.gov/admins/lead/safety/exemplary01/report_pg9.html.Google Scholar
Quality Education Direct Inc (2009). QED california district 2008 database: Data users guide. Denver, CO: Quality Education Direct Inc.Google Scholar
Ringwalt, C. L., Ennett, S., Johnson, R., Rohrbach, L. A., Simons-Rudolph, A., Vincus, A. et al. (2003). Factors associated with fidelity to substance use prevention curriculum guides in the nation's middle schools. Health Educaton Behaviors, 30 (3), 375–391.Google Scholar
Rogers, E. M. (1983). Diffusions of innovations. New York, Free Press.Google Scholar
Rohrbach, L.A., Howard-Pitney, B., Unger, J. B., Dent, C. W., Howard, K. A., Cruz, T.B. et al. (2002). Independent evaluation of the California tobacco control program: Relationships between program exposure and outcomes, 1996–1998. American Journal of Public Health, 92 (6), 975–984.Google Scholar
Rohrbach, L. A., Ringwalt, C. L., Ennett, S. T., & Vincus, A.A. (2005). Factors associated with adoption of evidence-based substance use prevention curricula in US school districts. Health Education Research, 20 (5), 514–526. doi: 10.1093/her/cyh008.Google Scholar
SAS Institute Inc. SAS/C Online Doc TM (2000). Release 9.0. Cary, NC: SAS Institute.Google Scholar
Stanton, W. R., Lowe, J. B., & Gillespie, AM. (1996). Adolescents’ experiences of smoking cessation. Drug and Alcohol Dependence, 43, 63–70.Google Scholar
Substance Abuse and Mental Health Services Administration & United States Department of Health and Human Services (2010). SAMHSA model programs. Retrieved July 27, 2010 from United States Department of Health and Human Services. http://nrepp.samhsa.gov/.Google Scholar
Sussman, S. (2002). Effects of sixty six adolescent tobacco use cessation trials and seventeen prospective studies of self-initiated quitting. Tobacco Induced Diseases, 1 (1), 35–81.Google Scholar