Optimal TTM Tailoring for Population Cessation
Completed · Not applicable
Conditions studied: Smoking Cessation
In brief
This study explored optimal tailoring strategies for population tobacco cessation in 4 treatment groups and a control group over 24 months. Transtheoretical model (TTM) tailored feedback on all 14 variables has been found to be a robust population cessation strategy across studies. This proposal sought to find a subset of these variables that is optimal for tailoring, both minimizing response burden while maximizing effectiveness. Addiction variables have been demonstrated to predict smoking outcomes across studies as well, so we will integrate tailored feedback using TTM and addiction variables into an enhanced tailoring group. Optimally tailored feedback that both helps unmotivated smokers reduce their addiction and helps motivated smokers quit could lead to a breakthrough in population cessation.
Key facts
- Study ID
- NCT01544010
- Run by
- University of Rhode Island
- People needed
- 3006
- Starts
- 2009-02-01
- Expected to finish
- 2012-06-01
- Last updated by the study team
- 2015-05-27
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- smoker
You may not qualify if…
- pregnancy
Where it is running
- University of Rhode Island — Kingston, Rhode Island, United States
Full record on ClinicalTrials.gov
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