Preferences for potential innovations in non-invasive colorectal cancer screening: A labeled discrete choice experiment for a Dutch screening campaign

Acta Oncol. 2014 Jul;53(7):898-908. doi: 10.3109/0284186X.2013.877159. Epub 2014 Jan 23.

Abstract

Background: The introduction of innovative non-invasive screening tests (e.g. tests based on stool and blood samples or both) may be a solution to increase colorectal cancer (CRC) screening uptake. However, preferences for these non-invasive screening tests have not been investigated in great detail yet. The purpose of this article therefore is to elicit individuals' preferences for different non-invasive screening tests in a Dutch screening campaign context.

Material and methods: We investigate preferences by means of a labeled discrete choice experiment. Data of 815 individuals, aged 55-75 years, are used in the analysis.

Results: Multinomial logit model analysis showed that the combi-test is generally preferred over the blood-test and the (currently available) stool-test. Furthermore, besides the large effect of screening test type, there are significant differences in preference depending on participants' socio-demographic background. Finally, the analysis showed a significant positive effect on screening test choice for the attributes sensitivity, risk reduction, and level of evidence and a non-significant effect for the attribute unnecessary follow-up test.

Conclusion: Introducing new non-invasive screening tests that are based on a combination of stool and blood samples (or blood sample only) has the potential to increase CRC screening participation compared to the current standard stool-based test.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Colorectal Neoplasms / blood
  • Colorectal Neoplasms / diagnosis*
  • Female
  • Health Surveys
  • Humans
  • Male
  • Mass Screening / methods
  • Middle Aged
  • Models, Econometric
  • Netherlands
  • Patient Preference / psychology
  • Patient Preference / statistics & numerical data*