A primary aim of the proposed P01 is to develop chronic care treatment for smoking that comprises only experimentally validated intervention components and that is appropriate for every phase of smoking cessation. This will be accomplished using the Multiphase Optimization Strategy (MOST), an engineering inspired methodological framework for developing, optimizing, and evaluating multicomponent treatments. The Design and Optimization Core serves the P01 by providing a centralized resource for expertise and support pertaining to this innovative approach.
The Specific Aims are: 1) Support and serve as an intellectual resource for this application of MOST. Throughout the entire funding period it will be necessary to integrate substantive knowledge with specialized methodological expertise on topics such as efficient experimental design, analysis, and decision making based on the results of experimentation. This core will support and help coordinate these activities. 2) Refine the MOST framework and related methodological tools. This P01 application proposes the first comprehensive research program aimed at the principled, systematic optimization of a clinical smoking treatment. The experience gained will advance MOST methods significantly (e.g., by improving methods for selecting intervention components for further study). 3) Disseminate the MOST framework and related methodological tools to the scientific community via journal articles, workshops, and the like to scientists and clinicians, not only in the smoking cessation area but also in other areas of cancer prevention and treatment. 4) In close collaboration with the Analysis Core, conduct secondary data analyses to lay groundwork for a subsequent cycle of MOST to make further incremental improvements to the smoking cessation treatment. Meaningful incremental improvement in effectiveness and/or efficiency is an ongoing objective of MOST. The next cycle of MOST will be proposed in a competitive renewal application. In sum, this core will enable scientific progress to be made simultaneously in both smoking cessation treatment and in methodology for treatment development, with progress in each domain supporting and informing progress in the other.

Public Health Relevance

This core is devoted to the implementation, advancement, and dissemination of engineering-inspired methods for making behavioral treatments more effective. These methods have the potential to produce much more effective and efficient smoking cessation treatments that can help more smokers to quit permanently and substantially reduce their cancer risk.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA180945-03
Application #
9130781
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2016-09-01
Budget End
2017-08-31
Support Year
3
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Wisconsin Madison
Department
Type
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Berg, Kristin M; Smith, Stevens S; Piper, Megan E et al. (2018) Identifying Differences in Rates of Invitation to Participate in Tobacco Treatment in Primary Care. WMJ 117:111-115
Schlam, Tanya R; Cook, Jessica W; Baker, Timothy B et al. (2018) Can we increase smokers' adherence to nicotine replacement therapy and does this help them quit? Psychopharmacology (Berl) 235:2065-2075
Nahum-Shani, Inbal; Smith, Shawna N; Spring, Bonnie J et al. (2018) Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Ann Behav Med 52:446-462
Nahum-Shani, Inbal; Dziak, John J; Collins, Linda M (2018) Multilevel factorial designs with experiment-induced clustering. Psychol Methods 23:458-479
Berg, Kristin M; Jorenby, Douglas E; Baker, Timothy B et al. (2018) Triple Smoking Cessation Therapy with Varenicline, Nicotine Patch and Nicotine Lozenge: A Pilot Study to Assess Tolerability, Satisfaction, and End-of-Treatment Quit Rates. J Smok Cessat 13:145-153
Deng, Sien; E McCarthy, Danielle; E Piper, Megan et al. (2018) Extreme Response Style and the Measurement of Intra-Individual Variability in Affect. Multivariate Behav Res 53:199-218
Hartz, Sarah M; Horton, Amy C; Hancock, Dana B et al. (2018) Genetic correlation between smoking behaviors and schizophrenia. Schizophr Res 194:86-90
Piper, Megan E; Cook, Jessica W; Schlam, Tanya R et al. (2018) A Randomized Controlled Trial of an Optimized Smoking Treatment Delivered in Primary Care. Ann Behav Med 52:854-864
Han, Jeong Yeob; Hawkins, Robert; Baker, Timothy et al. (2017) How Cancer Patients Use and Benefit from an Interactive Cancer Communication System. J Health Commun 22:792-799
Baker, Timothy B; Smith, Stevens S; Bolt, Daniel M et al. (2017) Implementing Clinical Research Using Factorial Designs: A Primer. Behav Ther 48:567-580

Showing the most recent 10 out of 70 publications