A Randomized Trial of Generic Versus Tailored Interventions to Increase Colorectal Cancer Screening Among Intermediate Risk Siblings
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Individuals with a sibling who has had colorectal cancer diagnosed before age 61 are at increased risk for colorectal cancer and may derive particular benefit from screening. Tailored interventions may increase participation in appropriate colorectal cancer screening.
This study evaluated the efficacy of two tailored interventions and a generic print intervention.
Participant siblings (N = 412) who were not up-to-date with colorectal cancer screening were randomly assigned to receive either a generic print pamphlet, a tailored print pamphlet, or a tailored print pamphlet and tailored counseling call. Colorectal cancer screening 6 months after the baseline interview was the outcome measure.
Results indicated that colorectal cancer screening adherence increased among intermediate risk siblings enrolled in all three intervention groups. Participants in both tailored intervention groups reported having colorectal cancer screening at significantly higher rates than participants in the generic print group. The increase in colorectal cancer screening in the tailored print and counseling call group was not significantly higher than that achieved by the tailored print alone. Decisional balance partially mediated treatment effects. Tailored behavioral interventions are effective methods for increasing screening adherence but telephone counseling did not add significantly to treatment effects.
KeywordsColorectal cancer screening Tailored interventions Intermediate risk siblings
- 1.American Cancer Society, Cancer facts and figures. Atlanta, Georgia: 2008.Google Scholar
- 9.Levin B, Lieberman A, McFarland B, et al. Screening and Surveillance for the Early Detection of Colorectal Cancer and Adenomatous Polyps, 2008: A Joint Guideline from the American Cancer Society, the US Multi-Society Task Force on colorectal Cancer and the American College of Radiology. CA A Cancer J Clin. 2008; 58: 130–160.CrossRefGoogle Scholar
- 10.Thrasher J, Cummings M, Michalek A, Mahoney MK, Pillittere D. Colorectal cancer screening among individuals with and without a family history. J Public Health Manag Prac. 2002; 8: 1–9.Google Scholar
- 17.Kreuter M, Wray R. Tailored and targeted health communication: Strategies for enhancing information relevance. Am J Health Promo. 2003; Supp 3: S227–32.Google Scholar
- 20.Janz NK, Becker MH. The health belief model: A decade later. Health Educ Q. 1984; 84: 104–106.Google Scholar
- 21.Rosenstock IM. The health belief model and preventive health behavior. In: Becker MH, ed. The Health Belief Model and Personal Health Behavior. Thorofare, NJ: Charles B. Slack; 1974: 27–59.Google Scholar
- 22.Champion V, Skinner CS. The health belief model. In: Glanz K, Rimer BK, Viswanath K, eds. Health Behavior and Health Education: Theory, Research, and Practice. San Francisco, CA: Jossey-Bass; 2008: 45–65.Google Scholar
- 24.Prochaska JO, Redding C, Evers K. The transtheoretical model and stages of change. In: Glanz K, Rimer BK, Viswanath K, eds. Health Behavior and Health Education: Theory Research and Practice. San Francisco, CA: Jossey-Bass; 2008: 97–121.Google Scholar
- 26.Leventhal H, Brissette I, Leventhal EA. The common-sense model of self-regulation of health and illness. In: Cameron LD, Leventhal H, eds. The self-regulation of health and illness behaviour. London: Routledge; 2003: 42–65.Google Scholar
- 29.Center for Disease Control. Colorectal Cancer Screening Saves Lives. CDC Pamphlet, 2002; available at http://www.cdc.gov/cancer/colorectal/sfl/print_materials. Accessability verified October 22, 2008.
- 30.Miller WR, Rollnick S. Motivational Interviewing: Preparing People for Change. 2nd ed. New York: Guildord Press; 2002.Google Scholar
- 35.Kenny DA, Kashy DA, Bolger N. Data analysis in social psychology. Vol. 1. In: Gilbert D, Fiske ST, Lindzey G, eds. Handbook of Social Psychology. 4th ed. McGraw-Hill: New York; 2003.Google Scholar
- 36.Singer JD, Willett JB. Applied Longitudinal Data A: Modeling Change and Event Occurrence. New York: Oxford; 2003.Google Scholar