Tobacco use exacts an enormous toll on the health of America, with prevalence stalled at about 20% of all adults. Further reductions in smoking prevalence are impeded by several factors: (1) slow progress in the development of more effective cessation interventions;(2) low utilization of evidence-based interventions;and (3) ineffective use of interventions. The primary objective of the proposed Center is to establish a multidisciplinary laboratory designed to yield a comprehensive (individual to systems-level) smoking cessation intervention. This NIDA Center of Excellence application includes three research projects supported by four cores that together will produce a translatable, cost-effective, and clinically effective smoking cessation intervention package. The overall methodological approach is guided by the principles of intervention optimization. Project 1 will test multiple, evidence-based intervention components, administered at different phases of the cessation attempt, to identify the combination of components that produces optimal smoking cessation success. Project 2 will test two different types of clinician interventions that are prompted by the electronic medical record and designed to increase smokers'use of evidence-based cessation interventions. Project 3 will test three different types of interventions designed to increase smokers'effective use of cessation medication. In support of the research projects, the Center will create four cores: Administrative, Intervention Optimization, Methods, and Mentoring, Education, and Dissemination. These will provide the administrative, scientific, educational, and operational support needed to ensure the success of the research projects and the Center as a whole. Overall, this proposed Center of Excellence is designed to demonstrate the value of innovative, mutidisciplinary research strategies in producing optimal cessation packages;these strategies can be applied to diverse problems in health and drug abuse. The overarching goal of this Center of Excellence application is to reduce the prevalence of tobacco use in the United States, and the resulting burden of illness, death, and cost.

Public Health Relevance

The health, economic, and human costs of tobacco use are profound. The proposed Center grant will bring together scientists from different fields to develop highly effective approaches to smoking cessation treatments and to ensure that they are used in clinics and healthcare settings. This integrated approach is expected to yield greatly improved population-wide reductions in smoking.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
3P50CA143188-14S1
Application #
8526611
Study Section
Special Emphasis Panel (ZDA1-RXL-E (05))
Program Officer
Morgan, Glen D
Project Start
1999-09-30
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
14
Fiscal Year
2012
Total Cost
$924,233
Indirect Cost
$310,125
Name
University of Wisconsin Madison
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
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Cook, Jessica W; Collins, Linda M; Fiore, Michael C et al. (2016) Comparative effectiveness of motivation phase intervention components for use with smokers unwilling to quit: a factorial screening experiment. Addiction 111:117-28
Zhang, Xiao; Martinez-Donate, Ana P; Kuo, Daphne et al. (2016) Beyond cigarette smoking: smoke-free home rules and use of alternative tobacco products. Perspect Public Health 136:30-3
Yoo, Woohyun; Yang, JungHwan; Cho, Eunji (2016) How social media influence college students' smoking attitudes and intentions. Comput Human Behav 64:173-182
Piper, Megan E; Fiore, Michael C; Smith, Stevens S et al. (2016) Identifying effective intervention components for smoking cessation: a factorial screening experiment. Addiction 111:129-41
Piper, Megan E; Schlam, Tanya R; Cook, Jessica W et al. (2016) Toward precision smoking cessation treatment I: Moderator results from a factorial experiment. Drug Alcohol Depend 171:59-65
Loh, Wei-Yin; He, Xu; Man, Michael (2015) A regression tree approach to identifying subgroups with differential treatment effects. Stat Med 34:1818-33

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