Objective: This experiment tested the effects of an individualized risk-based online mammography decision intervention. The intervention employs exemplification theory and the Elaboration Likelihood Model of persuasion to improve the match between breast cancer risk and mammography intentions.
Methods: 2918 women ages 35-49 were stratified into two levels of 10-year breast cancer risk (<1.5%; ≥1.5%) then randomly assigned to one of eight conditions: two comparison conditions and six risk-based intervention conditions that varied according to a 2 (amount of content: brief vs. extended) x 3 (format: expository vs. untailored exemplar [example case] vs. tailored exemplar) design. Outcomes included mammography intentions and accuracy of perceived breast cancer risk.
Results: Risk-based intervention conditions improved the match between objective risk estimates and perceived risk, especially for high-numeracy women with a 10-year breast cancer risk ≤1.5%. For women with a risk≤1.5%, exemplars improved accuracy of perceived risk and all risk-based interventions increased intentions to wait until age 50 to screen.
Conclusion: A risk-based mammography intervention improved accuracy of perceived risk and the match between objective risk estimates and mammography intentions.
Practice Implications: Interventions could be applied in online or clinical settings to help women understand risk and make mammography decisions.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028247 | PMC |
| http://dx.doi.org/10.1016/j.pec.2016.05.005 | DOI Listing |
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