Colorectal Cancer Screening: Preferences, Past Behavior, and Future Intentions

Carol Mansfield (), Donatus U. Ekwueme, Florence K. L. Tangka, Derek S. Brown, Judith Lee Smith, Gery P. Guy, Chunyu Li and Brett Hauber
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Carol Mansfield: RTI Health Solutions, RTI International
Donatus U. Ekwueme: Centers for Disease Control and Prevention
Florence K. L. Tangka: Centers for Disease Control and Prevention
Derek S. Brown: Washington University in St. Louis
Judith Lee Smith: Centers for Disease Control and Prevention
Gery P. Guy: Centers for Disease Control and Prevention
Chunyu Li: Centers for Disease Control and Prevention
Brett Hauber: RTI Health Solutions, RTI International

The Patient: Patient-Centered Outcomes Research, 2018, vol. 11, issue 6, No 5, 599-611

Abstract: Abstract Background Screening rates for colorectal cancer are below the Healthy People 2020 goal. There are several colorectal cancer screening tests that differ in terms of accuracy, recommended frequency, and administration. In this article, we compare how a set of personal characteristics correlates with preferences for colorectal cancer screening test attributes, past colorectal cancer screening behavior, and future colorectal cancer screening intentions. Methods We conducted a discrete-choice experiment survey to assess relative preferences for attributes of colorectal cancer screening tests among adults aged 50–75 years in USA. We used a latent class logit model to identify classes of preferences and calculated willingness to pay for changes in test attributes. A set of personal characteristics were included in the latent class analysis and analyses of self-reported past screening behavior and self-assessed likelihood of future colorectal cancer screening. Results Latent class analysis identified three types of respondents. Class 1 valued test accuracy, class 2 valued removing polyps and avoiding discomfort, and class 3 valued cost. Having had a prior colonoscopy and a higher income were predictors of the likelihood of future screening and membership in classes 1 and 2. Health insurance and a self-reported higher risk of developing colorectal cancer were associated with prior screening and higher future screening intentions, but not class membership. Conclusion We identified distinct classes of preferences focusing on different test features and personal characteristics associated with reported behavior and intentions. Healthcare providers should engage in a careful assessment of patient preferences when recommending colorectal cancer test options to encourage colorectal cancer screening uptake.

Date: 2018
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DOI: 10.1007/s40271-018-0308-6

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