- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01878214
Promoting Smoking Cessation in Carpenters
Effective Communication Strategies for Promoting Smoking Cessation in Carpenters
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Specific Aim 1: Develop targeted health messages based on audience segmentation to encourage smokers to enroll in a comprehensive union-sponsored smoking cessation program.
We will craft six specific health messages that appeal to four different audience segments: workers under 30 years old without children, workers under 30 with children, workers 30 years old or older without children, and workers 30 or older with children.
Specific Aim 2: Conduct a randomized controlled trial of targeted messaging based on audience segmentation versus standard smoking cessation messaging.
After conducting baseline surveys with union carpenters and floor layers, we will randomize current smokers (smoked within the last 30 days) into either the intervention or control group.
- Control subjects will receive one standard mailing informing them about the free smoking cessation program available to union members.
- Intervention subjects will receive the standard mailing in addition to six targeted smoking cessation messages delivered monthly by mail to their homes. Messages will be specific to one of four audience segments determined by age and parental status. In addition to a segment-specific anti-smoking message, each mailing will have contact information for the union smoking cessation program. Intervention subjects who consented to text messaging will also receive one booster text message each month with a shortened targeted message.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Missouri
-
St. Louis, Missouri, United States, 63110
- Washington University School of Medicine
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Current smoker (smoked cigarettes within the last 30 days)
- Eligible for union health benefits
Exclusion Criteria:
- None
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention group
Targeted messaging
|
6 targeted mailed messages and 6 booster text messages
1 informational letter
|
|
Active Comparator: Control group
Standard messaging
|
1 informational letter
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Enrollment in Smoking Cessation Program
Time Frame: up to 12 months after recruitment
|
Enrollment records from the union-sponsored smoking cessation program
|
up to 12 months after recruitment
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Quit Smoking
Time Frame: 7 months after baseline
|
At follow-up, subjects will report current smoking status.
("Do you currently smoke (have you smoked in the last 30 days)?" [Yes, I smoked within the past 30 days; No, but I have smoked in the past 6 months; No, and I have not smoked in more than 6 months]).
We will report the % of subjects who have not smoked in the last 30 days and will compare the intervention group with the control group.
|
7 months after baseline
|
|
Changes in Smoking Behaviors (Frequency and Quantity)
Time Frame: 7 months after recruitment
|
At baseline and follow-up, subjects will report smoking frequency ("How often do you smoke?" [everyday, at least 4 days/week, 1-3 days/week, less than one day/week]) and quantity ("On days that you smoke, how many cigarettes do you have per day?" [10 or less, 11-20, 21-30, 31 or more]).
We will report the % of subjects who smoke less frequently and smoke fewer cigarettes per day at follow-up compared to baseline.
We will compare the intervention group with the control group.
|
7 months after recruitment
|
|
Changes in Readiness to Quit Smoking in the Next 6 Months
Time Frame: 7 months after recruitment
|
Subjects will answer the following question at both baseline and follow-up surveys: "Are you seriously considering quitting smoking in the next 6 months?"
[yes/no].
We will report % of subjects who said "no" at baseline and "yes" at follow-up to determine changes in readiness to quit smoking and compare between intervention and control groups.
|
7 months after recruitment
|
|
Changes in Motivation to Quit Smoking and Thinking About Quitting Smoking
Time Frame: 7 months after recruitment
|
At baseline and follow-up, subjects will answer questions about motivation to quit smoking ("How motivated are you to quit smoking at this time?
[scale: 1 (not at all) - 10 (extremely)]) and thinking about quitting smoking ("Each rung on this ladder represents where various smokers are in their thinking about quitting.
Circle the number that indicates where you are now.
[0 (no thoughts of quitting) -10 (taking action to quit)]).
We will report the % of subjects who reported more motivation to quit and greater thinking about quitting at follow-up compared to baseline.
We will compare the intervention group with the control group.
|
7 months after recruitment
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Bradley Evanoff, MD, MPH, Washington University School of Medicine
Publications and helpful links
General Publications
- Sorensen G, Barbeau E, Hunt MK, Emmons K. Reducing social disparities in tobacco use: a social-contextual model for reducing tobacco use among blue-collar workers. Am J Public Health. 2004 Feb;94(2):230-9. doi: 10.2105/ajph.94.2.230.
- Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med. 2009 Feb;36(2):165-73. doi: 10.1016/j.amepre.2008.09.040.
- Fagerstrom KO, Schneider NG. Measuring nicotine dependence: a review of the Fagerstrom Tolerance Questionnaire. J Behav Med. 1989 Apr;12(2):159-82. doi: 10.1007/BF00846549.
- DiClemente CC, Prochaska JO, Fairhurst SK, Velicer WF, Velasquez MM, Rossi JS. The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change. J Consult Clin Psychol. 1991 Apr;59(2):295-304. doi: 10.1037//0022-006x.59.2.295.
- Kreuter MW, Wray RJ. Tailored and targeted health communication: strategies for enhancing information relevance. Am J Health Behav. 2003 Nov-Dec;27 Suppl 3:S227-32. doi: 10.5993/ajhb.27.1.s3.6.
- Barbeau EM, Krieger N, Soobader MJ. Working class matters: socioeconomic disadvantage, race/ethnicity, gender, and smoking in NHIS 2000. Am J Public Health. 2004 Feb;94(2):269-78. doi: 10.2105/ajph.94.2.269. Erratum In: Am J Public Health. 2004 Aug;94(8):1295.
- Barbeau EM, Li Y, Calderon P, Hartman C, Quinn M, Markkanen P, Roelofs C, Frazier L, Levenstein C. Results of a union-based smoking cessation intervention for apprentice iron workers (United States). Cancer Causes Control. 2006 Feb;17(1):53-61. doi: 10.1007/s10552-005-0271-0.
- Bock B, Graham A, Sciamanna C, Krishnamoorthy J, Whiteley J, Carmona-Barros R, Niaura R, Abrams D. Smoking cessation treatment on the Internet: content, quality, and usability. Nicotine Tob Res. 2004 Apr;6(2):207-19. doi: 10.1080/14622200410001676332.
- Ham DC, Przybeck T, Strickland JR, Luke DA, Bierut LJ, Evanoff BA. Occupation and workplace policies predict smoking behaviors: analysis of national data from the current population survey. J Occup Environ Med. 2011 Nov;53(11):1337-45. doi: 10.1097/JOM.0b013e3182337778.
- Lee DJ, Fleming LE, Arheart KL, LeBlanc WG, Caban AJ, Chung-Bridges K, Christ SL, McCollister KE, Pitman T. Smoking rate trends in U.S. occupational groups: the 1987 to 2004 National Health Interview Survey. J Occup Environ Med. 2007 Jan;49(1):75-81. doi: 10.1097/JOM.0b013e31802ec68c.
- Maibach EW, Maxfield A, Ladin K, Slater M. Translating health psychology into effective health communication: the american healthstyles audience segmentation project. J Health Psychol. 1996 Jul;1(3):261-77. doi: 10.1177/135910539600100302.
- Nigg CR, Burbank PM, Padula C, Dufresne R, Rossi JS, Velicer WF, Laforge RG, Prochaska JO. Stages of change across ten health risk behaviors for older adults. Gerontologist. 1999 Aug;39(4):473-82. doi: 10.1093/geront/39.4.473.
- Okechukwu CA, Krieger N, Sorensen G, Li Y, Barbeau EM. MassBuilt: effectiveness of an apprenticeship site-based smoking cessation intervention for unionized building trades workers. Cancer Causes Control. 2009 Aug;20(6):887-94. doi: 10.1007/s10552-009-9324-0. Epub 2009 Mar 20.
- Okechukwu CA, Krieger N, Sorensen G, Li Y, Barbeau EM. Testing hypothesized psychosocial mediators: lessons learned in the MassBUILT study. Health Educ Behav. 2011 Aug;38(4):404-11. doi: 10.1177/1090198110380544. Epub 2011 Apr 7.
- Perry RJ, Keller PA, Fraser D, Fiore MC. Fax to quit: a model for delivery of tobacco cessation services to Wisconsin residents. WMJ. 2005 May;104(4):37-40, 44.
- Ringen K, Anderson N, McAfee T, Zbikowski SM, Fales D. Smoking cessation in a blue-collar population: results from an evidence-based pilot program. Am J Ind Med. 2002 Nov;42(5):367-77. doi: 10.1002/ajim.10129.
- Slater MD. Theory and method in health audience segmentation. J Health Commun. 1996 Jul-Sep;1(3):267-83. doi: 10.1080/108107396128059.
- Smith DR. Tobacco smoking by occupation in Australia and the United States: a review of national surveys conducted between 1970 and 2005. Ind Health. 2008 Jan;46(1):77-89. doi: 10.2486/indhealth.46.77.
- Sorensen G, Emmons K, Hunt MK, Barbeau E, Goldman R, Peterson K, Kuntz K, Stoddard A, Berkman L. Model for incorporating social context in health behavior interventions: applications for cancer prevention for working-class, multiethnic populations. Prev Med. 2003 Sep;37(3):188-97. doi: 10.1016/s0091-7435(03)00111-7.
- Sorensen G, Barbeau EM, Stoddard AM, Hunt MK, Goldman R, Smith A, Brennan AA, Wallace L. Tools for health: the efficacy of a tailored intervention targeted for construction laborers. Cancer Causes Control. 2007 Feb;18(1):51-9. doi: 10.1007/s10552-006-0076-9.
- Velicer WF, DiClemente CC, Prochaska JO, Brandenburg N. Decisional balance measure for assessing and predicting smoking status. J Pers Soc Psychol. 1985 May;48(5):1279-89. doi: 10.1037//0022-3514.48.5.1279.
- Vladutiu CJ, Nansel TR, Weaver NL, Jacobsen HA, Kreuter MW. Differential strength of association of child injury prevention attitudes and beliefs on practices: a case for audience segmentation. Inj Prev. 2006 Feb;12(1):35-40. doi: 10.1136/ip.2004.007153.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 201110075
- R21CA161169 (U.S. NIH Grant/Contract)
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